CN110147996A - A kind of data trade localization difference method for secret protection and device based on block chain - Google Patents
A kind of data trade localization difference method for secret protection and device based on block chain Download PDFInfo
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- CN110147996A CN110147996A CN201910421140.9A CN201910421140A CN110147996A CN 110147996 A CN110147996 A CN 110147996A CN 201910421140 A CN201910421140 A CN 201910421140A CN 110147996 A CN110147996 A CN 110147996A
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Abstract
The invention discloses a kind of, and the data trade based on block chain localizes difference method for secret protection and device, mainly solves the problems, such as the privacy leakage that existing centralization data trade platform faces.Its method includes: that data set provider will realize ε-localization difference privacy by random response technology localization process data to be transacted；Address data memory, completeness check code, data trade condition are broadcasted to block chain network node in the form of data trade；Data set provider and data requirements person complete believable data trade in block chain network.The present invention is able to solve privacy leakage problem in the data trade scene that substantial amounts, relevance are strong, demand is various, while overcoming the existing data trade method based on block chain there are flexibilities the deficiencies such as poor, computing cost is big, practicability is low.
Description
Technical field
The present invention relates to block chain technical field, in particular to a kind of data trade localization difference based on block chain is hidden
Private guard method and device.
Background technique
Data trade is a kind of novel type of transaction, leads to barrier to data flow is broken, is connected to data silo, plays data warp
Ji value, promotes real economy to be of great significance to digital economy transition and upgrade.According to " Chinese big data transaction in 2016 produces
Industry white paper " incomplete statistics, China's big data trade market scale in 2015 is 33.85 hundred million yuan, it is contemplated that will be reached to the year two thousand twenty
To 54,500,000,000 yuan.
However, existing data trade platform, including with Kweiyang big data exchange, Shanghai Data trade center, Wuhan
East Lake big data trade center etc. is the Government-Leading data trade platform of representative；With Xignite, Gnip, Factual, data
Hall, data treasured, Jingdone district everything etc. are the data trade platform of the data resource Enterprise push of representative, are mostly centralizations, are held
It is subject to the problems such as ddos attack brings single point failure, performance bottleneck；It exists simultaneously because of the bands such as information asymmetry, information is opaque
Come the problems such as credible low, privacy leakage risk is high of trading.
The features such as can not distorting, can trace to the source in view of the distributed frame of block chain, transparent credible, safe and reliable, timing,
The problems such as single point failure, performance bottleneck can be effectively relieved in data trade platform of the building based on block chain, enhancing transaction are credible.
For example, applying for a patent " the fair data trade method based on block chain ", (application number: 201710326692.2), " one kind is based on
The data trade method of block chain " (application number: 201710981551.4), a kind of " data assets counterparty based on block chain
Method " (application number: 201710258115.4), " the credible shared transaction system of data based on block chain " (application number:
201810722523.5).But shortcoming existing for this method is: the privacy information lain in transaction data is had ignored,
The quality of life or even personal safety for threatening user hinder data circulation.
The existing transaction privacy based on block chain mostly uses cryptographic technique to protect transaction amount, and there are computing costs
Greatly, the deficiencies such as practicability is low, it is difficult to suitable for substantial amounts, the data trade scene that relevance is strong, demand is various.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of, the data trade based on block chain localizes difference secret protection
Method and device solves the problems, such as privacy leakage in on-hand quantity is huge, relevance is strong, demand is various data trade scene.
The localization difference privacy technology proposed through the invention, the privacy treatment process of data are transferred to every number
According on owner, when guaranteeing availability of data, centralization difference privacy bring privacy leakage risk is reduced, is realized more
Add thoroughization secret protection.On this basis, the present invention by block catenary system transaction localization difference privacy treated number
According to storage address alternate data itself, transaction system performance and handling capacity is greatly improved.
Realize the object of the invention technical solution include:
A kind of data trade localization difference method for secret protection based on block chain, step include:
(1) data set provider stores data to be transacted into local data base or file system；
(2) localization difference privacy processing modules implement ε-localization difference privacy is called；
(3) localization difference privacy treated address data memory and completeness check code is obtained；
(4) data trade condition is formulated, including the description of data type, data, data scale, data price, data are effective
Phase etc.；
(5) address data memory, completeness check code, data trade condition are broadcasted to block chain in the form of data trade
Network node；
(6) data buying expenses are temporarily stored in block chain network by data requirements person；
(7) data trade content is obtained by inquiry block chain network node；
(8) by address data memory check data trade condition whether meet demand；
(9) if passing through, data trade request is sent to data set provider；
(10) data set provider creates data trade, signed data transaction, and broadcasts to block chain network node；
(11) data trade is confirmed by block chain common recognition algorithm, generates block, and be placed on block chain tail portion；
(12) data set provider obtains the data being temporarily stored on block chain and buys deserved expense, and forces to return to remaining sum
Data requirements person；
(13) data requirements person obtains bought address data memory, and accesses data set provider local data base or text
The difference privacy stored in part system treated data.
It should be noted that the localization difference privacy is defined as follows:
The privacy budget ε that data-oriented owner defines, algorithmAnd its domain and codomain are respectivelyWith
D is recorded for any two data of data owner1WithIt obtains identical defeated
Out
If meeting with lower inequality:
Then claim algorithmMeet ε-localization difference privacy.
Further, privacy budget ε is that data owner determines according to application scenarios privacy requirements, is dynamically adapted, realizes
Personalized secret protection.
It should be noted that the localization difference privacy processing module is possessed by extension random response technology to data
Person's data plus noise disturbance to be transacted.
Further, random response technology is by Warner in document " Randomized response:A survey
technique for eliminating evasive answer bias.Journal of the American
1965,60 (309): Statistical Association is proposed in 63-69 ".But shortcoming existing for this method is:
Only it is adapted to respond to the discrete data of two-value.
Further, the present invention extends random response technology, and being mapped to arbitrary data first with Bloom filter has
The binaryzation array of regular length, the random response technology then proposed using Warner are realized by the uncertainty of response
The privacy of arbitrary data, comprising:
(1) arbitrary data data binaryzation: is mapped to the binaryzation number with regular length using Bloom filter
Group；
(2) each in array disturbance of data: is disturbed in the way of throwing dice；
(3) it counts: realizing the unbiased esti-mator to disturbance of data result using maximal possibility estimation, correct statistical result.
Further, arbitrary data is mapped to binaryzation array by Bloom filter, comprising:
(1) it initializes: selecting n hash function and length as the two-value array of m, and will be at the beginning of number each in two-value array
Beginning turns to 0；
(2) Hash: operational data is distinguished using n hash function, obtains binaryzation array index；
(3) it maps: according to subscript, becoming 1 by the way that array is corresponded to position, record the data.
It should be noted that the effect of the address data memory and completeness check code, comprising:
(1) address data memory is data to be transacted by localization difference privacy treated address, is data requirements
Person provides access path.
(2) data integrity verifying code is to prevent data description for preventing the random altered data of data owner and mention
For the inconsistency of data, ensures uplink communications and the consistency of data is locally stored.
A kind of data trade localization difference privacy protection device based on block chain, comprising:
(1) data to be transacted, including text, picture, audio, video etc. data acquisition module: are acquired；
(2) data preprocessing module: eliminating noise data, filter redundant data, fill up AFR control, checks that data are complete
Property and consistency, improve the quality of data；
(3) it data memory module: for storing data to be transacted, block data etc., is accessed convenient for follow-up data；
(4) data trade price and validity period data pricing module: are determined according to data type, data scale etc.；
(5) it localizes difference privacy processing module: by random response technology to data scrambling moving noise to be transacted, realizing
ε-difference secret protection；
(6) data to be transacted, block data, transaction data etc. network transmission module: are used for transmission；
(7) data trade module: creation transaction generates trading signature, reaches block chain common recognition, completes data payment；
(8) data timing module: record data use validity period, data trade time etc..
The embodiment of the present invention has the beneficial effect that
(1) present invention can not distort, can trace to the source using the distributed frame of block chain, transparent credible, safe and reliable, timing
The features such as, solve the problems such as availability and poor reliability that existing centralization data trade platform faces, transaction is credible low；
(2) present invention solves substantial amounts, association using the local difference privacy technology independently of attacker's background knowledge
Privacy leakage problem in the data trade scene that property is strong, demand is various；
(3) present invention supports personalized secret protection, i.e. data owner can carry out personalized according to application scenarios demand
Privacy settings overcomes the existing data trade method based on block chain there are flexibilities poor, computing cost is big, practicability is low etc.
It is insufficient；
(4) localization difference privacy technology proposed by the present invention, the privacy treatment process of data is by third party's centralization
Platform is transferred to each data owner, reduces centralization difference privacy technology bring privacy leakage risk, realizes wait hand over
The controllability and more thorough secret protection of easy data；
(5) The present invention gives local difference method for secret protection is realized by random response technology, La Pula is solved
The deficiencies of this mechanism and index mechanism are no longer applicable in due to a lack of global sensibility.
Detailed description of the invention
It, below will be to attached drawing needed in device description in order to illustrate more clearly of the technical solution in the present invention
It is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, general for this field
For logical technical staff, without any creative labor, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of data trade difference method for secret protection based on block chain provided by one embodiment of the present invention
Interaction figure；
Fig. 2 is a kind of data trade difference method for secret protection based on block chain provided by one embodiment of the present invention
Flow chart；
Fig. 3 is a kind of data trade difference privacy protection device based on block chain provided by one embodiment of the present invention
Structural block diagram.
Specific embodiment
In order to which the present invention is more clearly understood, the technical solution in the present invention is made below in conjunction with embodiment further
Description.It should be understood that the present embodiment premised on the technical program, gives detailed embodiment and implementation steps, but
It is not limited to the present embodiment.
The present invention provides a kind of, and the data trade based on block chain localizes difference method for secret protection and device, is retouched
The method of stating can be applied in every field data sharing scene.The method and device are the distributed knots using block chain
The features such as structure, transparent credible, safe and reliable, timing can not be distorted, can be traced to the source, solves existing centralization data trade flat surface
The problems such as availability and poor reliability faced, transaction is credible low.
The problem of to advanced optimize privacy leakage in block chain network, utilize the local independently of attacker's background knowledge
Difference privacy technology solves the problems, such as privacy leakage in substantial amounts, relevance are strong, demand is various data trade scene.
The interaction figure of data trade difference method for secret protection based on block chain is as shown in Figure 1, legitimate node can be in area
The decentralization, the credible transaction that have privacy guarantee are completed in block chain network.
Firstly, data set provider A is to the whole network node broadcasts data association message.
Detailed process:
Data owner A by etc. data to be transacted be stored in local data base or file system, device can be to data
Sensitive information be localized difference privacy handle, prevent the privacy information in leak data.
After the completion of processing, data set provider A can obtain address data memory and completeness check code.Completeness check code is
It is subsequent to prevent the data in database or file system to be modified influence.
Data owner A formulates data trade condition according to data and itself transaction-based requirements, and terms of trade may include number
According to type, data description, data scale, data price, data validity interval etc..
After the completion of previous step can will in the form of data trade broadcast data storage address, completeness check code, data
Terms of trade are to block chain network.
Secondly, data requirements person B inquires the data of needs in block chain network, and sends and hand over to data set provider A
Easily request.
Detailed process:
Data buying expenses are temporarily stored in block chain network by data requirements person B, are obtained by inquiring block chain network node
Take the description information of data trade.
The data of its needs are screened in numerous description message, and send data trade to the corresponding data set provider of data
Request.
Finally, data set provider A and data requirements person B completes the secure and trusted transaction of without the third party.
Detailed process:
After data set provider A receives the transaction request of data requirements person B, data set provider A creates data trade, number of signature
According to transaction, and broadcasts to block chain network node and other nodes is waited to pass through common recognition algorithm confirmation transaction.
If generating block by common recognition and block being placed on block chain tail portion.
At this point, data set provider, which obtains the data being temporarily stored on block chain, buys deserved expense, and force to return to remaining sum
To data requirements person.
Data requirements person obtains bought address data memory, and accesses data set provider local data base or file system
The difference privacy stored in system treated data.
It is matched between data set provider A and data requirements person B by the completion of block chain network during this, is handed over without knowing
Transaction can be completed in the specific identity information of easy both sides.
Though without the third party in process of exchange, since transparent credible, the safe and reliable, timing of block chain can not be usurped
The features such as changing, can tracing to the source both parties complete credible and secure transaction.
Further, data are handled by difference privacy technology, is protected under the premise of not influencing data use
The safety of data.
The privacy treatment process of data is transferred to each data owner by third party's centralization platform, reduces center
Change difference privacy technology bring privacy leakage risk, realizes that the controllability of data to be transacted and more thorough privacy are protected
Shield.
The flow chart of data trade difference method for secret protection based on block chain is as shown in Figure 2.
Detailed process:
S101. data set provider will realize ε-localization difference by random response technology localization process data to be transacted
Privacy；
In the embodiment of the present invention, data set provider stores data to be transacted into local data base or file system；It adjusts
With localization difference privacy processing modules implement ε-localization difference privacy.The localization difference privacy is defined as follows:
The privacy budget ε that data-oriented owner defines, algorithmAnd its domain and codomain are respectivelyWithD is recorded for any two data of data owner1WithIt obtains identical defeated
Out
If meeting with lower inequality:
Then claim algorithmMeet ε-localization difference privacy.
Privacy budget ε is that data owner determines according to application scenarios privacy requirements, is dynamically adapted, and is realized personalized hidden
Private protection.It should be noted that the localization difference privacy processing module is waited for by random response technology to data owner
The disturbance of transaction data plus noise.Random response technology is by Warner in document " Randomized response:A survey
technique for eliminating evasive answer bias.Journal of the American
1965,60 (309): Statistical Association is proposed in 63-69 ".But shortcoming existing for this method is:
Only it is adapted to respond to the discrete data of two-value.
The present invention extends random response technology, and being mapped to arbitrary data first with Bloom filter has fixed length
The binaryzation array of degree, the random response technology then proposed using Warner, uncertain by response realize arbitrary number
According to privacy, comprising:
(1) arbitrary data data binaryzation: is mapped to the binaryzation number with regular length using Bloom filter
Group；
(2) each in array disturbance of data: is disturbed in the way of throwing dice；
(3) it counts: realizing the unbiased esti-mator to disturbance of data result using maximal possibility estimation, correct statistical result.
Arbitrary data is mapped to binaryzation array by Bloom filter, comprising:
(1) it initializes: selecting n hash function and length as the two-value array of m, and will be at the beginning of number each in two-value array
Beginning turns to 0；
(2) Hash: operational data is distinguished using n hash function, obtains binaryzation array index；
(3) it maps: according to subscript, becoming 1 by the way that array is corresponded to position, record the data.
S102. address data memory, completeness check code, data trade condition are broadcasted to block in the form of data trade
Chain network node；
In the embodiment of the present invention, localization difference privacy treated address data memory and completeness check code is obtained；
Formulate data trade condition, including the description of data type, data, data scale, data price, data validity interval etc.；With data
Transaction form broadcasts address data memory, completeness check code, data trade condition to block chain network node.
The effect of the address data memory and completeness check code, comprising:
(1) address data memory is data to be transacted by localization difference privacy treated address, is data requirements
Person provides access path.
(2) data integrity verifying code is to prevent data description for preventing the random altered data of data owner and mention
For the inconsistency of data, ensures uplink communications and the consistency of data is locally stored.
S103. data set provider and data requirements person complete believable data trade in block chain network.
Data buying expenses are temporarily stored in block chain network by data requirements person；It is obtained by inquiry block chain network node
Data trade content；By address data memory check data trade condition whether meet demand；If passing through, provided to data
Person sends data trade request；Data set provider creates data trade, signed data transaction, and broadcasts to block chain network section
Point；Data trade is confirmed by block chain common recognition algorithm, generates block, and be placed on block chain tail portion；Data set provider obtains temporary
There are the data on block chain to buy deserved expense, and forces remaining sum returning to data requirements person；Data requirements person obtains institute
The address data memory of purchase, and access stored in data set provider local data base or file system difference privacy processing after
Data.
Based on the above-mentioned data trade difference method for secret protection based on block chain, in the embodiment of the present invention, also provide
A kind of data trade difference privacy protection device based on block chain, the structural block diagram of described device are as shown in Figure 3, comprising:
Data Data acquisition module 201, data preprocessing module 202, data memory module 203, data pricing module
204, localize difference privacy processing module 205, network transmission module 206, data trade module 207, data timing module
208.Wherein, data acquisition module, data preprocessing module, data memory module, data pricing module belong to data management mould
Block.
It is wherein described, data acquisition module 201, for acquiring data to be transacted, including text, picture, audio, video
Deng；
It is wherein described, data preprocessing module 202, for eliminating noise data, filtering redundant data, fill up vacancy number
According to inspection data integrity and consistency improve the quality of data；
Wherein described, data memory module 203 is visited for storing data to be transacted, block data etc. convenient for follow-up data
It asks；
It is wherein described, data pricing module 204, for determining data trade price according to data type, data scale etc.
And validity period；
It is wherein described, difference privacy processing module 205 is localized, data is handled for difference privacy, passes through random response
Technology gives data scrambling moving noise to be transacted, realization-difference secret protection；
Wherein described, network transmission module 206 is used for transmission data to be transacted, block data, transaction data etc.；
Wherein described, data trade module 207, for creating transaction, generation trading signature reaches block chain common recognition, complete
It pays at data；
Wherein described, data timing module 208 uses validity period, data trade time etc. for recording data.
Above description is only a specific example of present aspect, does not constitute any limitation of the invention.It is familiar with this field
Technical staff can be carried out modifications and changes in form and details after understanding the content of present invention and principle.Therefore, of the invention
It is not limited to the above embodiments, all made any modifications, equivalent replacements, and improvements etc. within principle and spirit of the invention,
It is included within protection scope of the present invention.
Claims (7)
1. a kind of data trade based on block chain localizes difference method for secret protection characterized by comprising
(1) data set provider stores data to be transacted into local data base or file system；
(2) localization difference privacy processing modules implement ε-localization difference privacy is called；
(3) localization difference privacy treated address data memory and completeness check code is obtained；
(4) data trade condition, including the description of data type, data, data scale, data price, data validity interval etc. are formulated；
(5) address data memory, completeness check code, data trade condition are broadcasted to block chain network in the form of data trade
Node；
(6) data buying expenses are temporarily stored in block chain network by data requirements person；
(7) data trade content is obtained by inquiry block chain network node；
(8) by address data memory check data trade condition whether meet demand；
(9) if passing through, data trade request is sent to data set provider；
(10) data set provider creates data trade, signed data transaction, and broadcasts to block chain network node；
(11) data trade is confirmed by block chain common recognition algorithm, generates block, and be placed on block chain tail portion；
(12) data set provider obtains the data being temporarily stored on block chain and buys deserved expense, and forces remaining sum returning to data
Demander；
(13) data requirements person obtains bought address data memory, and accesses data set provider local data base or file system
The difference privacy stored in system treated data.
2. method according to claim 1, which is characterized in that further include:
The privacy budget ε is that data owner determines according to application scenarios privacy requirements, is dynamically adapted, and is realized personalized hidden
Private protection.
3. method according to claim 1, which is characterized in that further include:
The localization difference privacy processing module, which is added by extension random response technology to data owner's data to be transacted, makes an uproar
Acoustic disturbance.
4. method according to claim 3, which is characterized in that further include:
Arbitrary data is mapped to the two-value with regular length first with Bloom filter by the extension random response technology
Change array, the random response technology then proposed using Warner passes through the uncertain privacy for realizing arbitrary data of response
Property, comprising:
(1) arbitrary data data binaryzation: is mapped to the binaryzation array with regular length using Bloom filter；
(2) each in array disturbance of data: is disturbed in the way of throwing dice；
(3) it counts: realizing the unbiased esti-mator to disturbance of data result using maximal possibility estimation, correct statistical result.
5. method according to claim 4, which is characterized in that further include:
Arbitrary data is mapped to binaryzation array by the Bloom filter, comprising:
(1) it initializes: selecting n hash function and length as the two-value array of m, and number each in two-value array is initialized
It is 0；
(2) Hash: operational data is distinguished using n hash function, obtains binaryzation array index；
(3) it maps: according to subscript, becoming 1 by the way that array is corresponded to position, record the data.
6. method according to claim 1, which is characterized in that further include:
The effect of the address data memory and completeness check code, comprising:
(1) address data memory is data to be transacted by localization difference privacy treated address, is mentioned for data requirements person
For access path.
(2) data integrity verifying code is for preventing the random altered data of data owner, preventing data description and providing number
According to inconsistency, ensure uplink communications and the consistency of data be locally stored.
7. a kind of data trade based on block chain localizes difference privacy protection device characterized by comprising data acquisition
Module, data preprocessing module, data memory module, data pricing module, localization difference privacy processing module, network transmission
Module, data trade module, data timing module.
The data acquisition module, for acquiring data to be transacted, including text, picture, audio, video etc.；
The data preprocessing module checks that data are complete for eliminating noise data, filtering redundant data, fill up AFR control
Whole property and consistency improve the quality of data；
The data memory module is accessed for storing data to be transacted, block data etc. convenient for follow-up data；
The data pricing module, for determining data trade price and validity period according to data type, data scale etc.；
The localization difference privacy processing module, it is real for giving data scrambling moving noise to be transacted by random response technology
Existing ε-difference secret protection；
The network transmission module is used for transmission data to be transacted, block data, transaction data etc.；
The data trade module generates trading signature, reaches block chain common recognition, complete data payment for creating transaction；
The data timing module uses validity period, data trade time etc. for recording data.
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| CN112507377A (en) * | 2020-11-30 | 2021-03-16 | 北京理工大学 | Block chain enabling supply chain system key information protection method based on differential privacy |
| CN112488680A (en) * | 2020-12-04 | 2021-03-12 | 深圳前海微众银行股份有限公司 | Block chain-based private transaction processing method and device |
| CN112488680B (en) * | 2020-12-04 | 2024-02-20 | 深圳前海微众银行股份有限公司 | Private transaction processing method and device based on blockchain |
| CN112801785A (en) * | 2021-01-13 | 2021-05-14 | 中央财经大学 | Fair data transaction method and device based on block chain intelligent contract |
| CN112801785B (en) * | 2021-01-13 | 2023-10-20 | 中央财经大学 | Fair data transaction method and device based on blockchain intelligent contract |
| CN113077257B (en) * | 2021-04-07 | 2023-06-20 | 许昌学院 | Block chain cross-chain management method and system based on data analysis |
| CN113077257A (en) * | 2021-04-07 | 2021-07-06 | 许昌学院 | Block chain cross-chain management method and system based on data analysis |
| CN113609523B (en) * | 2021-07-29 | 2022-04-01 | 南京邮电大学 | Vehicle networking private data protection method based on block chain and differential privacy |
| CN113609523A (en) * | 2021-07-29 | 2021-11-05 | 南京邮电大学 | Vehicle networking private data protection method based on block chain and differential privacy |
| CN113570369A (en) * | 2021-07-29 | 2021-10-29 | 成都质数斯达克科技有限公司 | Block chain privacy transaction method, device, equipment and readable storage medium |
| CN113570369B (en) * | 2021-07-29 | 2024-05-28 | 成都质数斯达克科技有限公司 | Block chain privacy transaction method, device, equipment and readable storage medium |
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