CN106548091A - A kind of data deposit card, the method and device of checking - Google Patents
A kind of data deposit card, the method and device of checking Download PDFInfo
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- CN106548091A CN106548091A CN201610899761.4A CN201610899761A CN106548091A CN 106548091 A CN106548091 A CN 106548091A CN 201610899761 A CN201610899761 A CN 201610899761A CN 106548091 A CN106548091 A CN 106548091A
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- data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00309—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the present application provides the method and device that a kind of data deposit card, data verification, in the method, server is according to default rule, determine that this deposits that card data are unique corresponding to deposit characteristics of syndrome value, and this is deposited into the transaction record that characteristics of syndrome value is written to given transaction, will be stored in the transaction record write block chain.And server is to verifying during data verification, according to previously by the way of, the unique corresponding eigenvalue to be verified of the checking data is determined, and the eigenvalue to be verified is compared with the characteristics of syndrome value of depositing being stored in block chain transaction record, to verify the checking data.Can be seen that from the above, as the data stored in block chain cannot change, server can will be deposited the unique corresponding characteristics of syndrome value of depositing of card data and block chain is stored in transaction record incidentally, ensure that this deposits the reliability of characteristics of syndrome value, and be further ensured that subsequent server deposits reliability when characteristics of syndrome value carries out data verification to verifying data by this.
Description
Technical field
The application is related to field of computer technology, more particularly to a kind of data deposit card, the method and device of checking.
Background technology
With the continuous development of computer technology, the data storage capacities of data base are constantly lifted, and currently, people can be by
Substantial amounts of user data is stored in a data storage device, to realize the unified management to these data with application.
As substantial amounts of user data is store in data base, therefore, the security capabilities of data database storing is standby always
Attract attention, people make great efforts the security performance for improving data base always, so that data base can on the secure context of data storage
It is relatively reliable.However, the data stored in current database but do not possess all the time can not tamper, e.g., the manager of data base
Can change passing data history operation note at any time, and subsequently also tend to be difficult to confirm the fact that data are changed,
Because while corresponding log information after the data one stored in data base are modified, will be left, but, the log information is but
Can be operated manually, therefore, how effectively confirm whether the data stored in data base modified, then be one urgently
Problem to be solved.
The content of the invention
The embodiment of the present application provides the method and device that a kind of data deposit card, data verification, for solving in prior art
In data base, the modification process of data cannot confirmed problem.
The embodiment of the present application provides a kind of method that data deposit card, including：
It is determined that depositing card data；
According to default rule, deposit that card data are unique corresponding to deposit characteristics of syndrome value it is determined that described；
The characteristics of syndrome value of depositing is written in the corresponding transaction record of given transaction；
The transaction record is written in block chain.
Wherein, it can be an individual data, or comprising multiple data one group of data to deposit card data.
The embodiment of the present application provides a kind of method of data verification, including：
From each data for pre-saving, it is determined that checking data；
According to preset rules, the unique corresponding eigenvalue to be verified of the checking data is determined, the preset rules are institute
State the rule adopted when data deposit card by checking data；
Extract in the transaction record stored from block chain the checking data it is unique it is corresponding deposit characteristics of syndrome value, it is described
It is that the checking data are written to when data deposit card and deposit characteristics of syndrome value in the transaction record to deposit characteristics of syndrome value；
Characteristics of syndrome value and the eigenvalue to be verified are deposited according to described, the checking data are verified.
Wherein, verify that data can be an individual datas, or include one group of data of multiple data.
The embodiment of the present application provides the device that a kind of data deposit card, including：
Data determining module, deposits card data for determining；
It is determined that described, eigenvalue determining module, for according to default rule, deposits that card data are unique corresponding to deposit characteristics of syndrome
Value；
Eigenvalue writing module, for the characteristics of syndrome value of depositing is written in the corresponding transaction record of given transaction；
Transaction record writing module, for the transaction record is written in block chain.
The embodiment of the present application provides a kind of device of data verification, including：
Determine data module, for from each data for pre-saving, it is determined that checking data；
Determine eigenvalue module, for according to preset rules, determining the unique corresponding characteristics of syndrome to be tested of the checking data
Value, the rule that the preset rules are adopted when data deposit card by the checking data；
Extraction module, for extracting in the transaction record that stores from block chain, the checking data are unique corresponding to deposit
Characteristics of syndrome value, it is described deposit characteristics of syndrome value be the checking data be written to when data deposit card in the transaction record to deposit card special
Value indicative；
The checking data, for depositing characteristics of syndrome value and the eigenvalue to be verified according to described, are entered by authentication module
Row checking.
The embodiment of the present application provides the method and device that a kind of data deposit card, data verification, and in the method, server exists
When carrying out data and deposit card to depositing card data, can determine and this deposit card data institute unique corresponding to deposit card special according to default rule
Value indicative, and this is deposited into characteristics of syndrome value be written in the transaction record of given transaction, and then the transaction record is written to into block chain
In stored.When subsequent server is needed to verifying that data are verified, can be according to previously entering line number to the checking data
According to by the way of, determining the unique corresponding eigenvalue to be verified of the checking data when depositing card, and by the spy to be verified
Value indicative is compared with the characteristics of syndrome value of depositing being stored in block chain transaction record, to realize the checking to the checking data.From
Can be seen that as the data stored in block chain generally cannot all change in said method, therefore, server will can be deposited
The unique corresponding characteristics of syndrome value of depositing of card data is incidentally stored in block chain in transaction record, this guarantees this and deposits characteristics of syndrome value
Reliability, so as to further ensure subsequent server by this deposit characteristics of syndrome value come to verify data carry out data verification when
Reliability.
Description of the drawings
Accompanying drawing described herein is used for providing further understanding of the present application, constitutes the part of the application, this Shen
Schematic description and description please does not constitute the improper restriction to the application for explaining the application.In the accompanying drawings：
Fig. 1 deposits the process of card for the data that the embodiment of the present application is provided；
The utilization Merkle trees that Fig. 2 is provided for the embodiment of the present application determine deposits the unique corresponding characteristics of syndrome value of depositing of card data
Schematic diagram；
The schematic diagram of the Merkle trees of another kind of structure that Fig. 3 is provided for the embodiment of the present application；
The terminal that Fig. 4 is provided for the embodiment of the present application interacts schematic diagram with intelligent home device；
The data validation process that Fig. 5 is provided for the embodiment of the present application；
The schematic diagram that checking is factually applied to a number that Fig. 6 is provided for the embodiment of the present application；
The schematic diagram that Fig. 7 connects in sequential for each Merkle trees that the embodiment of the present application is provided；
Fig. 8 deposits the schematic device of card for a kind of data that the embodiment of the present application is provided；
A kind of schematic device of data verification that Fig. 9 is provided for the embodiment of the present application.
Specific embodiment
To make purpose, technical scheme and the advantage of the application clearer, below in conjunction with the application specific embodiment and
Corresponding accompanying drawing is clearly and completely described to technical scheme.Obviously, described embodiment is only the application one
Section Example, rather than the embodiment of whole.Based on the embodiment in the application, those of ordinary skill in the art are not doing
The every other embodiment obtained under the premise of going out creative work, belongs to the scope of the application protection.
Below in conjunction with accompanying drawing, the technical scheme that each embodiment of the application is provided is described in detail.
Fig. 1 deposits the process of card for the data that the embodiment of the present application is provided, and specifically includes following steps：
S101：It is determined that depositing card data.
In the embodiment of the present application, server can be first determined and deposit card data to realize the follow-up checking to data, and
In subsequent process, implement to deposit card to the data for depositing card data.Wherein, referred to herein as deposit card data refer to also without
Server deposits the data that card is processed, also, the card data of depositing that the embodiment of the present application is mentioned can be an individual data, it is also possible to
It is one group of data for including multiple data.Data in preset time period can be determined when it is determined that depositing card data by server
To deposit card data.For example, it is assumed that server is 10:00～10:In 30 this period, (time span of 30min is as default
Time period) newly store 45 information (information is data), server can be determined as this 45 data 10:00
～10:In 30 this period, need to deposit card deposits card data (that is, this deposit card packet contain multiple data), if server
10:30～11:Store in 00 this period and newly 34 information, then server can using this 34 data just as
10:30～11:In 00 time period, need to deposit card deposits card data (that is, this deposit card packet contain multiple data).
In addition to each data in the preset time period by described above are defined as depositing card data, server also will can meet
Predetermined number, and do not deposit each data demonstrate,proved and be defined as depositing card data.Such as, (this is new whenever 25 information are newly stored for server
25 information of storage are and meet predetermined number 25, and do not deposit each data demonstrate,proved) when, server can be by this 25 information
Be defined as needing depositing card deposits card data (that is, this deposit card packet contain multiple data).
S102：According to default rule, deposit that card data are unique corresponding to deposit characteristics of syndrome value it is determined that described.
In order in follow-up data validation process, make server by effective by simple Data Comparison, quick
The checking for completing data, server can be determined and deposits card according to default rule when to depositing card data and carrying out data and deposit card
Data are uniquely corresponding to deposit characteristics of syndrome value, and this is deposited characteristics of syndrome value and deposits card data has only one-to-one correspondence on the whole, i.e.
Deposit card data determined according to default rule deposit characteristics of syndrome value only one of which, when deposit card data occur data variation, or
When being that default rule changes, then should determine that out it is different deposit characteristics of syndrome value, and when card data are deposited to there is multiple data,
Then deposit characteristics of syndrome value and should uniquely correspond to these data on the whole according to what preset rules were determined, when there is number in these data
According to variation, or default rule is when changing, then these data for producing data movement unique corresponding deposit characteristics of syndrome value
Should from it is previously determined go out to deposit characteristics of syndrome value different.
Specifically, when deposit card data be multiple data when, server determine respectively deposit card data after, can deposit for each
Card data, according to default encryption rule, determine that this deposits the unique corresponding eigenvalue of card data, wherein, default encryption rule
Such as hash algorithm Hash, Message Digest 5 the 5th edition (Message Digest Algorithm, MD5), public key can then be adopted
AES (RSA Algorithm, RSA), DEA (Data Encryption Algorithm, DEA) etc. are encrypted
Rule, the eigenvalue that these encryption rules are determined all be with this deposit card data it is uniquely corresponding, accordingly, referred to herein as should
Deposit the unique corresponding eigenvalue of card data and the number obtained after card data are encrypted is deposited to this using default encryption rule as
Value, e.g., when default encryption rule be hash algorithm when, then server by hash algorithm determine this deposit card data it is uniquely right
The hash value answered is this and deposits the unique corresponding eigenvalue of card data.
As when it is multiple data to deposit card data, the embodiment of the present application is it needs to be determined that go out to deposit card data unique corresponding
It is individual to deposit characteristics of syndrome value, therefore, server can be determined and deposit that card data are unique corresponding to deposit characteristics of syndrome by default Merkle trees
It is worth, specific determination mode can be：When it is multiple data to deposit card data, server can respectively deposit card data only by what is determined
One corresponding each eigenvalue is respectively stored on each leaf node of default Merkle trees, and is determined by the Merkle trees
The root node value of the Merkle trees, wherein, server can deposit the unique corresponding eigenvalue phase of card data using with each is determined
With predetermined encryption rule, determine the root node value of the Merkle trees, and by the root node value of the Merkle trees determined
As card is respectively deposited, data are corresponding deposits characteristics of syndrome value, wherein, it is unique right on the whole that this is deposited characteristics of syndrome value and respectively deposits card data
Answer, i.e. respectively deposit card data and be uniquely corresponding to one and deposit characteristics of syndrome value, when certain in these data or a few data occur
During change, corresponding with these data characteristics of syndrome value of depositing that the server is determined should also occur corresponding change.Except this it
Outward, referred to herein as the predetermined encryption rule deposited characteristics of syndrome value with adopted it is relevant, e.g., when default AES be Hash calculate
During method, then it should be hash value that this deposits characteristics of syndrome value, and specific process is as shown for example in fig.
The utilization Merkle trees that Fig. 2 is provided for the embodiment of the present application determine deposits the unique corresponding characteristics of syndrome value of depositing of card data
Schematic diagram.
It is assumed that server is after it is determined that outbound message 1, message 2, message 3, message 4 this 4 deposits card data, can be according to default
Hash algorithm (hash algorithm be default encryption rule), determine the unique corresponding hash value of this 4 message respectively,
As shown in table 1.
| Message 1 | Hash1 |
| Message 2 | Hash2 |
| Message 3 | Hash3 |
| Message 4 | Hash4 |
Table 1
The each hash value determined can be stored such as after the unique corresponding hash value of each message is determined by server respectively
On each leaf node of the Merkle trees shown in Fig. 2, subsequent server can be according to the hash algorithm for being adopted, and the Merkle
Hash value on tree on each leaf node, determines the root node value Hash7 of the Merkle trees, and by root node value Hash7
Characteristics of syndrome value is deposited as this 4 message are uniquely corresponding.Specifically process can be：Merkle trees are calculated according to hash algorithm
After hash value on 4 leaf nodes, Hash1 and Hash2 can be carried out Hash calculating again by hash algorithm, obtain Hash5,
In the same manner, Hash3 and Hash4 can be carried out Hash calculating again by hash algorithm, obtain Hash6, then, can by Hash5 and
Hash6 carries out Hash calculating again by hash algorithm, obtains Merkle root vertex values Hash7, and then the Hash7 is just true
It is set to that this 4 information are unique corresponding to deposit characteristics of syndrome value.Certainly, other modes may also be employed to determine Merkle tree non-leaf
Numerical value on node (i.e. Hash5, Hash6 are in the residing node of Merkle trees in Fig. 2), e.g., Hash5 can by Hash1 and
The addition of Hash is obtained, and Hash5 can be added with Hash4 by Hash3 and be obtained, and Hash 7 can be added with Hash6 by Hash5
Arrive.
It should be noted that it is determined that Merkle trees root node value when, various encryption rules may also be employed and are determined,
That is, the value in each non-leaf nodes can be determined using different AESs, e.g., shown in above-mentioned Fig. 2
In Merkle trees, the value of the non-leaf nodes (node that the Hash5 i.e. shown in Fig. 2 is located at) on Hash1 and Hash2 can
Be determined using MD5 algorithms, and the non-leaf nodes being located on Hash3 and Hash4 (Hash6 i.e. shown in Fig. 1 is located at
Node) value can be determined using RSA Algorithm, after determining the value in the two non-leaf nodes, adoptable DEA is calculated
Method, determines the value of the root node on the two non-leaf nodes.
In order to ensure the effectiveness of subsequent server data verification, server is determined according to different encryption rules
The value and the value of root node of each non-leaf nodes on Merkle trees, then server need each non-leaf nodes and root section
The encryption rule adopted on point is recorded, and in follow-up data validation process, using identical cipher mode, comes true
Determine the value and the value of root node of each non-leaf nodes on the Merkle trees that used during data verification.
In addition, in addition to the Merkle trees shown in above-mentioned Fig. 2, in the embodiment of the present application, Merkle trees can also be which
His structure, as shown in Figure 3.
The schematic diagram of the Merkle trees of another kind of structure that Fig. 3 is provided for the embodiment of the present application.
Merkle trees shown in Fig. 3 are a kind of stair-stepping Merkle trees, and server is will be each information determined unique
When corresponding hash value is stored on each leaf node of the Merkle trees, Hash1 and leaf that can first according to leaf node A
The Hash2 of node B, by hash algorithm, Hash1 and Hash2 is carried out Hash calculating again, leaf node A and leaf section is obtained
The Hash5 of corresponding non-leaf nodes E of point B, then, server can in the same way, by non-leaf nodes E
Hash3 on Hash5 and leaf node 3, calculates the Hash6 of non-leaf nodes F, and finally, server can pass through non-leaf
The Hash4 on Hash6 and leaf node D on node F, calculates the hash value Hash7 of the root node G of the Merkle trees.
Certainly, in addition to the Merkle trees shown in Fig. 2 and Fig. 3, in the embodiment of the present application, server may also be employed other
The Merkle trees of structure, here is not with regard to being illustrated one by one.And determine except using Merkle trees and respectively deposit card data
It is uniquely corresponding to deposit outside characteristics of syndrome value, can also be determined using other modes, e.g., server is determined
After according to respective unique corresponding eigenvalue, each eigenvalue determined can be ranked up in a certain order, and will sequence
Result be encrypted again, and then just as respectively depositing, card data are uniquely corresponding to deposit characteristics of syndrome value using the result after encryption；Or
It is that server respectively deposit that card data each uniquely after corresponding eigenvalue, can generate one by snowflake algorithms determining
Individual globally unique ID, and just as respectively depositing, card data are uniquely corresponding to deposit characteristics of syndrome value using the ID；Also or server can root
Card data each unique corresponding each eigenvalue is respectively deposited according to what is determined, a general unique identification of these eigenvalues is determined
Code (Universally Unique Identifier, UUID), and just as respectively depositing, card data are uniquely corresponding to deposit using the UUID
Characteristics of syndrome value.Certainly there are other determination modes, here is not with regard to being illustrated one by one.
S103：The characteristics of syndrome value of depositing is written in the corresponding transaction record of given transaction.
As the embodiment of the present application is intended to realize effectively deposit card to data, therefore, cannot using data in block chain
The characteristic of change, the unique corresponding characteristics of syndrome value of depositing of card data of depositing determined is stored in block chain.And consider storage
The block chain used by transaction record generally more reliable, safety, in the embodiment of the present application, can deposit card number by what is determined
According to it is unique it is corresponding deposit that characteristics of syndrome value is stored in can be in the block chain of store transaction record.Block chain is in order to others
Server provides the card of depositing of data and services, and generally all can provide some to these servers can need to deposit the data write of card
To the instruction in the transaction record of block chain storage so that server can be using these instructions, it would be desirable to carry out depositing the data of card
It is written in transaction record, and then realizes that data deposit card in the block chain by way of block chain store transaction is recorded.
Based on this, in the embodiment of the present application, server can initiate a transaction specified, and the transaction can be one little
The transaction of volume, e.g., carries out the money transfer transactions of a small amount in default two trading accounts.Server is carrying out the specified friendship
While easily, a transaction record corresponding to the given transaction can be produced, then, server can be handed over by default block chain
This is deposited characteristics of syndrome value and is written in the transaction record by the designated order easily in script, such as passes through default " OP_RETURN "<
Root Hash>Order, the unique corresponding characteristics of syndrome value of depositing of card data of depositing determined is written in transaction record.
Under normal circumstances, in the transaction record that server is generated in addition to it can record basic Transaction Information, generally also can
There is the character strings such as the code that some servers are generated, these character strings also may have is deposited characteristics of syndrome with server writes
The similar character string of value, e.g., when server be written in transaction record deposit characteristics of syndrome value for hash value when, in the transaction record
Other hash values may be there is also.Characteristics of syndrome is deposited for deposit card in order to effectively distinguish that server write
Value, so that follow-up data verification is used, in the embodiment of the present application, server is depositing the write of characteristics of syndrome value by what is determined
During in the transaction record, one prefix specified of addition before characteristics of syndrome value can be deposited at this, or one be added below
The suffix specified, is made a distinction with depositing characteristics of syndrome value to this, and e.g., what the server of CoinSpark websites can be determined to which deposits
The unique corresponding characteristics of syndrome value of depositing of card data adds " SPK " prefix, this is deposited characteristics of syndrome value and is made a distinction in transaction record.
S104：The transaction record is written in block chain.
Specifically, the unique corresponding characteristics of syndrome value of depositing of card data of depositing determined is being written to the friendship specified by server
After in easily recording, the transaction record is written to by the default block chain transaction script of characteristic that can not be distorted using the storage of block chain
In block chain, so as to realize that block chain deposits the storage of characteristics of syndrome value to this, wherein, block chain here can adopt publicly-owned block
Chain, it is intended that as anyone may participate in the maintenance in publicly-owned block chain and the checking of data, therefore, it is publicly-owned
Block chain is more safe for privately owned block chain and alliance's block chain, and the data that store are more true, this Shen
Please the publicly-owned block chain that adopted of embodiment can be bit coin (BitCoin, BTC) block chain, Lay spy's coin (Litecoin,
LTC) block chain, point put the block chain of these ideal moneys of coin (Peercoin, PPC) block chain, it is of course also possible to be other
Publicly-owned block chain, here is not with regard to carrying out illustrated in greater detail.
As server is subsequently when data verification is carried out, need to deposit characteristics of syndrome value in block chain according to being stored in advance in
Data verification is carried out, be therefore, it can in advance will to deposit storage location of the characteristics of syndrome value in block chain and recorded and preserved.Enter one
Step ground, deposits characteristics of syndrome value in block chain in order to effectively distinguish to be stored in, and server by utilizing can enter line number to multi-group data
According to the function of depositing card, when record deposits storage location of the characteristics of syndrome value in block chain, this can be deposited corresponding to characteristics of syndrome value
Each data carry out corresponding preservation with the storage location, during so that server subsequently carrying out data verification, can be each according to what is preserved
The storage location of characteristics of syndrome value, and each data corresponding to each storage location are deposited, checking data is extracted from block chain and is existed
Data are deposited determined during card unique corresponding and deposit characteristics of syndrome value, with to verifying that data are verified.
Currently, smart home is vdiverse in function and easy to operate due to which, is day by day favored by people, and with speed faster
Degree gets their way into people's lives, and user can pass through the intelligent terminal such as mobile phone, the panel computer carried with and remotely realize to intelligence
The control of energy home equipment, so as to the daily life for giving people brings great convenience, the friendship of terminal and intelligent home device
Mutually process is as shown in Figure 4.
The terminal that Fig. 4 is provided for the embodiment of the present application interacts schematic diagram with intelligent home device.
It is assumed that user is currently in other places, and before now the household of user has come the door of user and want to enter house
In rested, then user can pass through mobile phone (intelligent terminal) entrained by oneself to server send one unlocking instruction, clothes
After the instruction is received, the door lock controller (intelligent home device) that can be installed on user door sends this and refers to business device
Order, so that the door lock controller is after the instruction is received, by door-lock opening, so that the household of user is entered in family.
The door lock controller of described above is one kind of intelligent home device, current to also have many smart homes to set
It is standby, if by the air-conditioning of intelligent terminal's remotely control, air purifier etc..Under normal circumstances, intelligent home device is generally all
Can be bound with multiple terminals, so, multiple terminals (or multiple users) are controlled to intelligent home device will be unavoidable
Occur some safe problems (safety problem for herein referring to singly does not refer to that safety problem occurs in intelligent home device, can also refer to by
The property safety problem of the user that all intelligent home device can be controlled and be caused in multiple terminals), therefore, in order to follow-up
The safety problem for occurring can effectively be analyzed, server needs to implement user by terminal-pair intelligent home device
Control recorded one by one and corresponding data stored, so, in order that these data of server storage are rear
Effectively support can be provided on continuous Security Problem Analysis, server, can be to these data while these data are stored
Carry out data and deposit card, therefore, in the embodiment of the present application, described above deposit card data except can be such as user transaction
Outside the data such as information, chat message, some data for being related to intelligent home device, e.g., terminal identification data, terminal are can also be
The mark data of the smart machine for being controlled, the control data transmitted between terminal and smart machine etc., and specific data are deposited
Shown in card process step S101 described above～S104, here is just no longer described in detail.
It should be noted that in the embodiment of the present application, server needs to deposit data on the block chain utilized during card and
Row is monitored in real time, is deposited characteristics of syndrome value and smoothly can be stored in block chain by transaction record with guarantee to determine.This
The purpose that sample does is that in actual applications, block chain is it is possible that the association being based on of some abnormal conditions, such as block chain
View there occurs renewal, so as to occur new and old agreement it is incompatible cause block chain cannot normal work situation etc..In order to as far as possible
These unfavorable factors that avoid data are deposited with the impact that brought during card, in the embodiment of the present application, server can be real-time
Data are deposited with the used block chain of card to be monitored, when the agreement for monitoring that block chain is based on occurs to update, then will be true
That what is made deposits in characteristics of syndrome value storage block chain in the updated.
Moreover, when server will carry the transaction record of depositing characteristics of syndrome value to be submitted in block chain, block chain
This transaction record may not be received, this is because, in actual applications, the digging ore deposit person of bit coin block chain may be preferential
Transaction fee high transaction packing write block chain, and transaction fee low transaction is lain over.So, in order to avoid this feelings
Condition deposits card adverse effect to data, in the embodiment of the present application, when server submit to transaction could not in time by than
Special coin digs ore deposit person's write bit coin, and server can initiate a transaction again, and improve its transaction fee, while generating this transaction
Transaction record, and then by determine deposit characteristics of syndrome value be written to this improve transaction fee transaction record in, so,
After bit coin block chain digs ore deposit person receives this transaction record of server transmission, the transaction fee in the transaction record is found
It is high with comparison, then preferentially the transaction record is written in block chain, it is achieved thereby that depositing card process to data.
By said method as can be seen that server can according to default rule, determine deposit card data it is uniquely corresponding
Characteristics of syndrome value is deposited, and this is deposited into characteristics of syndrome value and attached in transaction record, and then transaction record is deposited by block chain
Storage realizes that the block chain deposits card to what this deposited characteristics of syndrome value.As the data stored in block chain generally cannot all be modified,
Again because, server determine this to deposit characteristics of syndrome value be with to deposit card data uniquely corresponding, i.e. there are data when card data are deposited
During change, the server according to change after the unique corresponding eigenvalue determined of card data of depositing be different from depositing card by certain
When there is no data variation in data it is unique it is corresponding deposit characteristics of syndrome value, therefore, server subsequently can be by being stored in block chain
This deposit characteristics of syndrome value come to previously through data deposit card process checking data carry out effective, reliable data verification, so as to
Verify whether these data there occurs modification after data deposit card.
For data verification method clear, that explicitly bright the embodiment of the present application is provided, below will be to this process
It is described in detail.
The data validation process that Fig. 5 is provided for the embodiment of the present application, specifically includes following steps：
S501：From each data for pre-saving, it is determined that checking data.
In the embodiment of the present application, when server carries out data verification, from each data for pre-saving can determine and test
Card data, wherein, referred to herein as checking data refer to the data of data verification are also carried out without server, and server
It is determined that the concrete mode of checking data can be：After the checking request of user's transmission is received, can be according to the checking request, really
Making user needs to carry out the data of data verification, and then using the data determined just as checking data.
It should be noted that the checking data that the embodiment of the present application is mentioned can be a single data, or
Multiple data, e.g., the checking request that server can be sent according to user, and user needs certain data for carrying out data verification to make
For the checking data, it is also possible to user is needed to carry out multiple data of data verification as checking data.
S502：According to preset rules, the unique corresponding eigenvalue to be verified of the checking data, the preset rules are determined
The rule adopted when data deposit card by the checking data.
As server is when carrying out depositing card to data, it is according to certain to deposit the unique corresponding characteristics of syndrome value of depositing of card data
Rule and determine, so, server can specify according to identical when data verification is carried out, and determine checking data
Unique corresponding eigenvalue to be verified, the so eigenvalue to be verified with deposit characteristics of syndrome value could have in data verification it is comparable
Property；Can also deposit after card data are converted by the preset rules of agreement respectively with checking data to be verified.
Therefore, in the embodiment of the present application, when it is multiple data to verify data, server is determining each checking data
Afterwards, the default encryption rule that can be adopted when data deposit card according to these data, determines each checking data only respectively
One corresponding sub- checking eigenvalue, e.g., when data deposit card, server uses hash algorithm and determines each number these data
According to unique corresponding eigenvalue (hash value), so, server should be also adopted when data verification is carried out to these data
Hash algorithm, determines the unique corresponding sub- checking eigenvalue (hash value) of each checking data respectively.
The method that card is deposited by the data of described above, in the embodiment of the present application, is many numbers when card data are deposited
According to when, server can be respectively deposited what is determined the unique corresponding eigenvalue of card data and be stored respectively in when carrying out data and depositing card
On each leaf node of default Merkle trees, therefore, for when checking data are multiple data, server is being counted
During according to checking, it is also desirable to by each checking data determined unique corresponding sub- checking eigenvalue according to each checking data
The each eigenvalue determined when data deposit card is stored in the mode of each leaf node of default Merkle numbers, will determine respectively
Each sub- checking eigenvalue store on each leaf node of the default Merkle trees.Wherein, except needing to adopt during data verification
Outer with structure identical Merkle tree when depositing card with data, the unique corresponding sub- checking eigenvalue of each data is stored in Merkle trees
Respectively deposit the unique corresponding each eigenvalue of card data and be stored in Merkle trees in position on each leaf node when also card should be deposited with data
Position on each leaf node is identical.Such as, in Fig. 2 of step S102, server when data deposit card be by this 4 message only
One corresponding 4 hash values (i.e. eigenvalue) are stored on 4 leaf nodes of Merkle trees successively according to order from left to right
, therefore, when server carries out data verification to this 4 message, it is also desirable to be verified by this 4 message unique corresponding 4
Hash value (i.e. son checking eigenvalue) according to identical mode when depositing card with data, from left to right storage deposits card with data successively
When identical Merkle tree 4 leaf nodes on.
The each checking data determined unique corresponding each sub- checking eigenvalue is stored default by server respectively
After on each leaf node of Merkle trees, the root node value to be verified that the Merkle trees determine the Merkle trees can be passed through, entered
And using the root node value to be verified just as the unique corresponding eigenvalue to be verified of each checking data.
It should be noted that server is in data verification, it is not necessarily intended to using Merkle trees determine each checking data
Unique corresponding eigenvalue to be verified, determines that the mode of the eigenvalue to be verified should determine these when data deposit card by server
Data it is unique it is corresponding when depositing characteristics of syndrome value by the way of determining.
S503：Extract in the transaction record stored from block chain that the checking data are unique corresponding to deposit characteristics of syndrome
Value, the characteristics of syndrome value of depositing is that the checking data are written to when data deposit card and deposit characteristics of syndrome value in the transaction record.
Due in the embodiment of the present application, the transaction that characteristics of syndrome value has been stored in block chain is deposited needed for by data verification
In record, and server is in data verification, and it is according to testing that what needs were determined when depositing card with data deposits characteristics of syndrome value
Demonstrate,prove data to be verified, therefore, in the embodiment of the present application, what server was determined when can deposit card according to the data for pre-saving
The unique corresponding storage location for depositing characteristics of syndrome value in block chain of checking data, determines from the block chain and is stored with that this is deposited
The transaction record of characteristics of syndrome value, specific process can be that server can be determined to carry and deposit card spy according to the storage location
The transaction record of value indicative is located at which block in block chain, and then the transaction record is determined from the block.
Server determined after having the transaction record of characteristics of syndrome value according to the storage location that pre-saves, can be from
This is extracted in the transaction record and deposits characteristics of syndrome value, specific extracting mode can be：Determining that having this deposits characteristics of syndrome value
Transaction record after, the content in transaction record can be identified, with identify with specified prefix or suffix to deposit card special
Value indicative, and then the enforcement extraction of characteristics of syndrome value is deposited to this.
S504：Characteristics of syndrome value and the eigenvalue to be verified are deposited according to described, the checking data are verified.
Server extract from the transaction record of block chain checking data determined when data deposit card it is unique right
Answer deposit characteristics of syndrome value after, this can be deposited the unique corresponding characteristics of syndrome to be tested of characteristics of syndrome value and the checking data that server is determined
Value is compared, and to judge that it is whether identical with the eigenvalue to be verified that this deposits characteristics of syndrome value, if so, then can verify that out checking data
For truthful data, in other words, not there is modification in the checking data after data deposit card；And if server judges that this deposits card
When eigenvalue is differed with the eigenvalue to be verified, then include false data in can verify that out the checking data, i.e. when this is tested
When card data are a data, it is determined that go out the data and there occurs change after data deposit card process, and work as the checking data
For multiple data when, these data through the data of server deposit card process after, some of which data there occurs change.
For example, continue to continue to use the example shown in Fig. 4 of above-mentioned steps S104, it is assumed that server needs to preserve some day
Terminal and intelligent home device between the control data transmitted when being verified, can be according to previously carrying out data to these data
The preset rules adopted during card are deposited, the unique corresponding sub- checking eigenvalue of each control data to be verified is determined respectively, and
Each sub- checking eigenvalue is respectively stored in into each leaf of default Merkle trees according to the same way adopted when depositing card with data
In child node, and then determine the unique corresponding eigenvalue to be verified of each control data to be verified.Then, server can basis
The storage location for pre-saving, extract from the transaction record of block chain that server determined when data deposit card are to be verified
Each control data it is unique it is corresponding deposit characteristics of syndrome value, and by the eigenvalue to be verified deposited characteristics of syndrome value with determine for extracting
It is compared, so that it is determined that going out whether each control data to be verified is real data.
Can be seen that in from the above and modification will not occur due to the data stored in block chain, and, server passes through
What default rule was determined deposits characteristics of syndrome value or eigenvalue to be verified, for each self-corresponding data are all unique, institutes
So that, when server carries out data verification, it is unique right that the checking data extracted from block chain are determined when data deposit card
The characteristics of syndrome value of depositing answered is one and can accurately represent parameter of the data when data deposit card, i.e. when the data change
Afterwards, the preset rules that adopted when server deposits card according to data and data institute for changing for determining is unique corresponding
Numerical value is necessarily deposited characteristics of syndrome value different from this, and based on this, this can be deposited characteristics of syndrome value with the data determined only by server
One corresponding eigenvalue to be verified is compared, and then realizes the effective checking to the data, i.e. the data one are modified, clothes
Business device can accurately verify this act of revision.
It should be noted that in actual applications, whether user implemented to a certain data sometimes for the checking a certain moment
Data deposit card, therefore, in the embodiment of the present application, server when to depositing card data and carrying out data and deposit card, except determining
Go out deposit card data it is unique it is corresponding deposit beyond characteristics of syndrome value is stored in block chain, can also institute be really during data deposit card
Eigenvalue (such as the Hash1 of the message 1 in Fig. 2) in the Merkle leaveves child nodes made, and Merkle tree non-leaf sections
Value (such as the Hash5 in Fig. 2) on point is stored in home server.So, subsequent user is a certain in authentication server
Whether moment implements data to a certain data when depositing card, and the checking instruction that server can be sent by user first determine this
Merkle trees belonging to data, and then by the value in the non-leaf nodes of the Merkle trees from home server, and should
Eigenvalue on Merkle trees on certain several leaf node is supplied to user so that the data that user is provided according to server are come right
A certain data implement checking, wherein, the proof procedure of data is as shown in Figure 6.
The schematic diagram that checking is factually applied to a number that Fig. 6 is provided for the embodiment of the present application.
In fig. 6, it is supposed that when whether depositing card through the data of server before user wants to verify message 1 (data),
The predetermined encryption rule used when data deposit card by the message 1 that user can be provided according to server, determines 1 institute of message
Corresponding eigenvalue Hash1 ＇ to be verified, then, user can get the server that server prestores by server and exist
Data deposit the eigenvalue Hash2 of the message 2 determined during card, by message 3 and message 4 distinguish corresponding eigenvalue Hash3 and
Non-leaf nodes Hash6 of the Merkle trees determined by Hash4, and the root node value Hash7 of Merkle trees (deposits characteristics of syndrome
Value), and Hash1 ＇, Hash2, Hash6 are stored in the respective nodes in Merkle trees, finally determine then to be verified
Root node value Hash7 ＇.User after the root node value Hash7 ＇ to be verified are determined, can by the Hash7 ＇ be stored in area
Characteristics of syndrome value Hash7 of depositing in block chain is compared, when both are consistent, it is determined that server enters to the message 1 before this
Data of going deposit card, if finding, both are inconsistent, can determine that server did not carry out data to message 1 before this and deposits
Card, or the message 1 that stored of server distorted by other people after data deposit card, also or server is to user
In Hash2, Hash6 of offer, at least one data are false data.
It should be noted that, in actual applications, although data can be carried out depositing card by server by said method, but
Whether for deposit card data be real data server but cannot learn, some undesirables can be in original true number if being
According to being above modified, to obtain the data (multiple data can be included in the data that this part is forged) of a forgery, and then pass through
The data of described above deposit card method so that server carries out depositing card to the data that this part is forged.So, come for such case
Say, server subsequently cannot deposit characteristics of syndrome value verifying the true and false of this number evidence by what is stored in block chain, consequently, it is possible to making
The data for obtaining server deposit card and data verification failure.
For example, in synchronization, undesirable (referred to herein as undesirable can be third-party undesirable,
Can be the server maintenance personnel that data tampering is carried out to local server) will be several in a data stored in server
Individual data are distorted, so as to obtain the data of a forgery, and the data that this part is forged in this moment storage
In server.And server is while carrying out data to the real data of this part and depositing card, what lawless person was also forged to this part
Data carry out data and deposit card, and deposit characteristics of syndrome value and this part of forgery by this part of truthful data determined respectively uniquely corresponding
The unique corresponding characteristics of syndrome value of depositing of data is stored in block chain, so, and due to being also stored with block chain, this part is forged
Deposit characteristics of syndrome value corresponding to data, therefore, subsequent server also cannot be verified by the data verification method of described above
The true and false of this number evidence.
The occurrence of in order to prevent above-mentioned, in the embodiment of the present application, server can be by each number according to (per number, evidence is
For one group deposit card data) corresponding to Merkle trees be attached in sequential, specific connected mode can be：When depositing card number
According to for multiple data when, server it is determined that current time respectively deposit card data it is unique it is corresponding deposit characteristics of syndrome value during,
Card data (it can be an individual data, or multiple data that one group is deposited card data on this) can be deposited by upper one group unique right
On the leaf node for respectively depositing the Merkle trees corresponding to card data for depositing characteristics of syndrome value storage current time answered, to realize each part
Connection of the corresponding each Merkle trees of data in sequential, wherein, referred to herein as upper one group deposit card data be：Server is true
Determine current time need to carry out data deposit card deposit card data before, a upper moment determined deposit card data.Server
The process that each Merkle trees are connected in sequential is as shown in Figure 7.
The schematic diagram that Fig. 7 connects in sequential for each Merkle trees that the embodiment of the present application is provided.
In fig. 7, it is assumed that the previously passed Merkle trees A of server, outbound message 1, message 2, message 3, message 4 this part are determined
Data it is unique it is corresponding deposit characteristics of syndrome value after, this can be deposited characteristics of syndrome value (i.e. the root node value of Merkle trees A) and be stored in
On the leaf node B ＇ of Merkle tree B, wherein, for server, Merkle trees B determines that current time respectively deposits card data and uniquely corresponds to
Deposit the Merkle trees adopted during characteristics of syndrome value, and the root node value of Merkle tree A is stored in Merkle tree B's by server
It is because on leaf node that server storage message 1, message 2, message 3, the time of message 4 respectively deposit card data positioned at current time
Before.Server subsequently can determine the non-leaf section of Merkle tree B according to the Hashn of the leaf node A ＇ on Merkle tree B
Hash*1 on point E ＇, and then using the same way of Merkle root vertex values is determined during depositing card with above-mentioned data, really
Make the root node value of Merkle tree B.By that analogy, the root node value on Merkle trees B may be alternatively stored in other data correspondences
Merkle trees leaf node on, so as to realize connection of each Merkle trees in sequential.
So, even if server is while a data of storage, undesirable also in the same time will be for this in phase
Number according to and forge a data storage in the server, i.e., synchronization server need generation two Merkle trees.
And as server needs each Merkle trees to be connected according to sequential, therefore, for the two Merkle trees, service
Device can only select one of Merkle trees to be connected in sequential with other Merkle trees, so as to generate a Merkle tree construction
Virtual chain, and then the root node value on the virtual chain of the Merkle tree constructions is stored in block chain, so, if not
Method one's share of expenses for a joint undertaking wishes that the corresponding root node value (depositing characteristics of syndrome value) of the two Merkle trees can be stored in block by server
In chain, then need further to go to forge the corresponding data of other Merkle trees, to form the virtual chain of a forgery, this
The cost of undesirable's data falsification is considerably increased just, the occurrence of so as to evade data falsification to a certain extent.
As long as also, user learns the root node value of a Merkle tree, you can each Merkle is connected according to sequential by server
Virtual chain obtained from connecing, traces back to each Merkle trees before the Merkle trees, and can be corresponding by each Merkle trees
Root node value (i.e. each group deposit card data are unique corresponding to deposit characteristics of syndrome value) checking the true and false of data in each Merkle trees.
The method that card, data verification are deposited for the data that the embodiment of the present application is provided above, based on same thinking, the application
Embodiment also each provides the device that data deposit card and data verification, as shown in Figure 8,9.
Fig. 8 deposits the schematic device of card for a kind of data that the embodiment of the present application is provided, and specifically includes：
Data determining module 801, deposits card data for determining；
Eigenvalue determining module 802, for according to default rule, deposits card data unique corresponding to deposit card special it is determined that described
Value indicative；
Eigenvalue writing module 803, for the characteristics of syndrome value of depositing is written in the corresponding transaction record of given transaction；
Transaction record writing module 804, for the transaction record is written in block chain.
The data include：Terminal identification data, the mark data of the smart machine of the terminal control, terminal and intelligence
At least one of control data transmitted between equipment.
The data determining module 801 is specifically for being defined as depositing card data by the data in preset time period；Or
Predetermined number will be met, and do not deposit the data demonstrate,proved and be defined as depositing card data.
The eigenvalue determining module 802 specifically for, when it is described deposit card data be multiple data when, deposit card for each
Data, according to default encryption rule, it is determined that this deposits the unique corresponding eigenvalue of card data；The encryption rule includes：Hash
At least one in the 5th edition MD5 of hash algorithm, Message Digest 5, public key encryption algorithm RSA, DEA DEA；Will
The unique corresponding each eigenvalue of card data of respectively depositing determined is stored on each leaf node of default Merkle trees respectively；Pass through
The Merkle trees determine the root node value of the Merkle trees, deposit that card data are uniquely corresponding to deposit characteristics of syndrome value as described.
It is stored with the leaf node of the Merkle trees upper one group and deposits that card data are unique corresponding to deposit characteristics of syndrome value.
The eigenvalue writing module 803 is specifically for initiating given transaction, and generating the corresponding friendship of the given transaction
Easily record；By the designated order in default block chain transaction script, the characteristics of syndrome value of depositing is written to into the transaction note
In record.
The transaction record writing module 804 is specifically for by the default block chain transaction script, by the friendship
Easily record is written in block chain；The block chain is publicly-owned block chain；The block chain includes：Bit coin BTC block chains, Lay
At least one in special coin LTC block chains, point point coin PPC block chains.
Described device also includes：
Preserving module 805, described deposit storage location of the characteristics of syndrome value in the block chain and described deposits for determining
Characteristics of syndrome value is corresponding to deposit card data and preserves.
A kind of schematic device of data verification that Fig. 9 is provided for the embodiment of the present application.
Determine data module 901, for from each data for pre-saving, it is determined that checking data；
Determine eigenvalue module 902, for according to preset rules, determining the unique corresponding spy to be verified of the checking data
Value indicative, the rule that the preset rules are adopted when data deposit card by the checking data；
Extraction module 903, uniquely corresponds to for the checking data are extracted in the transaction record that stores from block chain
Deposit characteristics of syndrome value, the characteristics of syndrome value of depositing is that the checking data are written to depositing in the transaction record when data deposit card
Characteristics of syndrome value；
Authentication module 904, for depositing characteristics of syndrome value and the eigenvalue to be verified according to described, to the checking data
Verified.
The determination eigenvalue module 902 is specifically for when the checking data are multiple data, according to the checking
The default encryption rule adopted when data deposit card by data, for each checking data, determines that the checking data are uniquely right
The son checking eigenvalue answered；The root node value to be verified of the Merkle trees is determined by the Merkle trees, as described
The unique corresponding eigenvalue to be verified of checking data.
The extraction module 903 is specifically for determining when data deposit card according to the checking data for pre-saving
The unique corresponding storage location for depositing characteristics of syndrome value in the block chain, determine from the block chain be stored with it is described
Deposit the transaction record of characteristics of syndrome value；Characteristics of syndrome value is deposited described in extracting from the transaction record.
The authentication module 904 is specifically for depositing characteristics of syndrome value described in judgement whether identical with the eigenvalue to be verified；
If so, it is truthful data then to verify the checking data；If it is not, including false number in then verifying the checking data
According to.
The embodiment of the present application provides the method and device that a kind of data deposit card, data verification, and in the method, server exists
When carrying out data and deposit card to depositing card data, can determine and this deposit card data institute unique corresponding to deposit card special according to default rule
Value indicative, and this is deposited into characteristics of syndrome value be written in the transaction record of given transaction, and then the transaction record is written to into block chain
In stored.When subsequent server is needed to verifying that data are verified, can be according to previously entering line number to the checking data
According to by the way of, determining the unique corresponding eigenvalue to be verified of the checking data when depositing card, and by the spy to be verified
Value indicative is compared with the characteristics of syndrome value of depositing being stored in block chain transaction record, to realize the checking to the checking data.From
Can be seen that as the data stored in block chain generally cannot all change in said method, therefore, server will can be deposited
The unique corresponding characteristics of syndrome value of depositing of card data is incidentally stored in block chain in transaction record, this guarantees this and deposits characteristics of syndrome value
Reliability, so as to further ensure subsequent server by this deposit characteristics of syndrome value come to verify data carry out data verification when
Reliability.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can adopt complete hardware embodiment, complete software embodiment or with reference to the reality in terms of software and hardware
Apply the form of example.And, the present invention can be using the computer for wherein including computer usable program code at one or more
The computer program implemented in usable storage medium (including but not limited to disk memory, CD-ROM, optical memory etc.) is produced
The form of product.
The present invention be with reference to method according to embodiments of the present invention, equipment (system), and computer program flow process
Figure and/or block diagram are describing.It should be understood that can be by computer program instructions flowchart and/or each stream in block diagram
The combination of journey and/or square frame and flow chart and/or flow process and/or square frame in block diagram.These computer programs can be provided
The processor of general purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced for reality by the instruction of computer or the computing device of other programmable data processing devices
The device of the function of specifying in present one flow process of flow chart or one square frame of multiple flow processs and/or block diagram or multiple square frames.
These computer program instructions may be alternatively stored in and can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory is produced to be included referring to
Make the manufacture of device, the command device realize in one flow process of flow chart or one square frame of multiple flow processs and/or block diagram or
The function of specifying in multiple square frames.
These computer program instructions can be also loaded in computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented process, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow process of flow chart or multiple flow processs and/or block diagram one
The step of function of specifying in individual square frame or multiple square frames.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and internal memory.
Internal memory potentially includes the volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read only memory (ROM) or flash memory (flash RAM).Internal memory is computer-readable medium
Example.
Computer-readable medium includes that permanent and non-permanent, removable and non-removable media can be by any method
Or technology is realizing information Store.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read only memory (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read only memory (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic cassette tape, the storage of tape magnetic rigid disk or other magnetic storage apparatus
Or any other non-transmission medium, can be used to store the information that can be accessed by a computing device.Define according to herein, calculate
Machine computer-readable recording medium does not include temporary computer readable media (transitory media), the such as data signal and carrier wave of modulation.
Also, it should be noted that term " including ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that a series of process, method, commodity or equipment including key elements not only includes those key elements, but also wrapping
Other key elements being not expressly set out are included, or also includes intrinsic for this process, method, commodity or equipment wanting
Element.In the absence of more restrictions, the key element for being limited by sentence "including a ...", it is not excluded that wanting including described
The process of element, method, also there is other identical element in commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer program.
Therefore, the application can adopt complete hardware embodiment, complete software embodiment or with reference to the embodiment in terms of software and hardware
Form.And, the application can be deposited using the computer for wherein including computer usable program code at one or more is available
The shape of the computer program implemented on storage media (including but not limited to disk memory, CD-ROM, optical memory etc.)
Formula.
Embodiments herein is the foregoing is only, the application is not limited to.For those skilled in the art
For, the application can have various modifications and variations.All any modifications made within spirit herein and principle, equivalent
Replace, improve etc., within the scope of should be included in claims hereof.
Claims (10)
1. a kind of method that data deposit card, it is characterised in that include：
It is determined that depositing card data；
According to default rule, deposit that card data are unique corresponding to deposit characteristics of syndrome value it is determined that described；
The characteristics of syndrome value of depositing is written in the corresponding transaction record of given transaction；
The transaction record is written in block chain.
2. the method for claim 1, it is characterised in that when it is described to deposit card data be multiple data when, according to default
Rule, it is determined that it is described deposit card data it is unique it is corresponding deposit characteristics of syndrome value, specifically include：
Card data are deposited for each, according to default encryption rule, it is determined that this deposits the unique corresponding eigenvalue of card data；
Each leaf node that the unique corresponding each eigenvalue of card data stores default Merkle trees respectively is deposited respectively by what is determined
On；
The root node value of the Merkle trees is determined by the Merkle trees, deposits that card data are uniquely corresponding to deposit card as described
Eigenvalue.
3. method as claimed in claim 2, it is characterised in that be stored with the leaf node of the Merkle trees upper a group and deposit
Card data are uniquely corresponding to deposit characteristics of syndrome value.
4. the method for claim 1, it is characterised in that the characteristics of syndrome value of depositing is written to into the corresponding friendship of given transaction
In easily recording, specifically include：
Given transaction is initiated, and generates the corresponding transaction record of the given transaction；
By the designated order in default block chain transaction script, the characteristics of syndrome value of depositing is written to into the transaction record
In.
5. a kind of method of data verification, it is characterised in that include：
From each data for pre-saving, it is determined that checking data；
According to preset rules, the unique corresponding eigenvalue to be verified of the checking data is determined, the preset rules are tested for described
The rule adopted when data deposit card by card data；
Extract in the transaction record stored from block chain the checking data it is unique it is corresponding deposit characteristics of syndrome value, it is described to deposit card
Eigenvalue is that the checking data are written to when data deposit card and deposit characteristics of syndrome value in the transaction record；
Characteristics of syndrome value and the eigenvalue to be verified are deposited according to described, the checking data are verified.
6. method as claimed in claim 5, it is characterised in that when the checking data are multiple data, according to default rule
Then, determine the unique corresponding eigenvalue to be verified of the checking data, specifically include：
According to the default encryption rule adopted when data deposit card by the checking data, for each checking data, it is determined that
The unique corresponding sub- checking eigenvalue of the checking data；
The each eigenvalue determined when data deposit card according to each checking data is stored in each leaf node of default Merkle trees
Mode, each checking data determined unique corresponding each sub- checking eigenvalue is respectively stored in into the default Merkle
Set on each leaf node；
The root node value to be verified of the Merkle trees is determined by the Merkle trees, it is uniquely right as the checking data
The eigenvalue to be verified answered.
7. method as claimed in claim 5, it is characterised in that described testing is extracted in the transaction record stored from block chain
Card data are uniquely corresponding to deposit characteristics of syndrome value, specifically includes：
The unique corresponding characteristics of syndrome value of depositing that the checking data according to pre-saving are determined when data deposit card is described
Storage location in block chain, determines the transaction record for depositing characteristics of syndrome value that is stored with from the block chain；
Characteristics of syndrome value is deposited described in extracting from the transaction record.
8. method as claimed in claim 5, it is characterised in that deposit characteristics of syndrome value and the characteristics of syndrome to be tested according to described
Each checking data are verified, are specifically included by value：
Characteristics of syndrome value is deposited described in judging whether identical with the eigenvalue to be verified；
If so, it is truthful data then to verify the checking data；
If it is not, including false data in then verifying the checking data.
9. a kind of data deposit the device of card, it is characterised in that include：
Data determining module, deposits card data for determining；
It is determined that described, eigenvalue determining module, for according to default rule, deposits that card data are unique corresponding to deposit characteristics of syndrome value；
Eigenvalue writing module, for the characteristics of syndrome value of depositing is written in the corresponding transaction record of given transaction；
Transaction record writing module, for the transaction record is written in block chain.
10. a kind of device of data verification, it is characterised in that include：
Determine data module, for from each data for pre-saving, it is determined that checking data；
Determine eigenvalue module, for according to preset rules, determining the unique corresponding eigenvalue to be verified of the checking data, institute
State the rule that preset rules are adopted when data deposit card by the checking data；
Extraction module, for the checking data are extracted in the transaction record that stores from block chain, unique corresponding to deposit card special
Value indicative, the characteristics of syndrome value of depositing is that the checking data are written to when data deposit card and deposit characteristics of syndrome in the transaction record
Value；
The checking data, for depositing characteristics of syndrome value and the eigenvalue to be verified according to described, are tested by authentication module
Card.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610899761.4A CN106548091A (en) | 2016-10-14 | 2016-10-14 | A kind of data deposit card, the method and device of checking |
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|---|---|---|---|
| CN201610899761.4A CN106548091A (en) | 2016-10-14 | 2016-10-14 | A kind of data deposit card, the method and device of checking |
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Cited By (63)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107292621A (en) * | 2017-06-22 | 2017-10-24 | 丁江 | Really power deposits card method and node to mass data |
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