CN108564469A - Representation data acquisition methods, device and the computing device of block chain node - Google Patents

Representation data acquisition methods, device and the computing device of block chain node Download PDF

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Publication number
CN108564469A
CN108564469A CN201810322032.1A CN201810322032A CN108564469A CN 108564469 A CN108564469 A CN 108564469A CN 201810322032 A CN201810322032 A CN 201810322032A CN 108564469 A CN108564469 A CN 108564469A
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node
block chain
chain node
representation data
transaction
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蒋劭捷
王伟波
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Beijing Qihoo Technology Co Ltd
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Beijing Qihoo Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

The invention discloses a kind of representation data acquisition methods, device, computing device and the computer storage medias of block chain node, wherein the representation data acquisition methods of block chain node include:Obtain the Transaction Information of block chain node;The Transaction Information of block chain node is analyzed, the trading activity feature of block chain node is obtained;According to the trading activity feature of block chain node, the representation data of block chain node is determined.According to technical solution provided by the invention, by analyzing the Transaction Information of block chain link point, it can precisely, easily determine the representation data of block chain node, effectively block chain network is supervised.

Description

Representation data acquisition methods, device and the computing device of block chain node
Technical field
The present invention relates to Internet technical fields, and in particular to a kind of representation data acquisition methods of block chain node, dress It sets, computing device and computer storage media.
Background technology
Block chain has many characteristics, such as that decentralization, data be open and clear, data can not distort, and can effectively ensure data Safety, can be applied in the fields such as finance, electric business, Internet of Things.It, can be according to the work of each block chain node in block chain network Make situation and each block chain link point is divided into miner's node, ordinary node and token distribution node etc..However, in the prior art But it is difficult to easily determine the data such as the type of each block chain node, such as it is difficult to determine which block chain node is miner's section Point, which block chain node are token distribution nodes, to extremely be unfavorable for supervising block chain network.
Invention content
In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly State representation data acquisition methods, device, computing device and the computer storage media of the block chain node of problem.
According to an aspect of the invention, there is provided a kind of representation data acquisition methods of block chain node, this method packet It includes:
Obtain the Transaction Information of block chain node;
The Transaction Information of block chain node is analyzed, the trading activity feature of block chain node is obtained;
According to the trading activity feature of block chain node, the representation data of block chain node is determined.
According to another aspect of the present invention, a kind of representation data acquisition device of block chain node, the device packet are provided It includes:
Acquisition module is suitable for obtaining the Transaction Information of block chain node;
Analysis module is analyzed suitable for the Transaction Information to block chain node, obtains the trading activity of block chain node Feature;
Determining module is suitable for the trading activity feature according to block chain node, determines the representation data of block chain node.
According to another aspect of the invention, a kind of computing device is provided, including:Processor, memory, communication interface and Communication bus, processor, memory and communication interface complete mutual communication by communication bus;
Memory makes processor execute above-mentioned block chain node for storing an at least executable instruction, executable instruction The corresponding operation of representation data acquisition methods.
In accordance with a further aspect of the present invention, a kind of computer storage media is provided, at least one is stored in storage medium Executable instruction, executable instruction make processor execute the corresponding behaviour of representation data acquisition methods such as above-mentioned block chain node Make.
According to technical solution provided by the invention, the Transaction Information of block chain node is obtained, then to block chain node Transaction Information is analyzed, and the trading activity feature of block chain node is obtained, then according to the trading activity of block chain node spy Sign, determines the representation data of block chain node.Using technical solution provided by the invention, by the transaction for analyzing block chain link point Information can precisely, easily determine the representation data of block chain node so that supervision department etc. can be square according to representation data Just the concrete condition for obtaining each block chain node, effectively supervises block chain network, greatly improves supervision The convenience of block chain network.
Above description is only the general introduction of technical solution of the present invention, in order to better understand the technical means of the present invention, And can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can It is clearer and more comprehensible, below the special specific implementation mode for lifting the present invention.
Description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit are common for this field Technical staff will become clear.Attached drawing only for the purpose of illustrating preferred embodiments, and is not considered as to the present invention Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 shows the flow signal of the representation data acquisition methods of block chain node according to an embodiment of the invention Figure;
Fig. 2 a show the flow of the representation data acquisition methods of block chain node in accordance with another embodiment of the present invention Schematic diagram;
Fig. 2 b show the schematic diagram of the corresponding numbers of addresses of suspect node A;
Fig. 2 c show the schematic diagram of node relationships net;
Fig. 3 shows the structural frames of the representation data acquisition device of block chain node according to an embodiment of the invention Figure;
Fig. 4 shows a kind of structural schematic diagram of computing device according to the ... of the embodiment of the present invention.
Specific implementation mode
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure Completely it is communicated to those skilled in the art.
Fig. 1 shows the flow signal of the representation data acquisition methods of block chain node according to an embodiment of the invention Figure, as shown in Figure 1, this method comprises the following steps:
Step S100 obtains the Transaction Information of block chain node.
In block chain network, each block chain address of node and Transaction Information are disclosed, wherein in Transaction Information Include the information such as exchange hour, transaction address and/or number of deals.For a block chain node, the block chain node Transaction address in one Transaction Information includes that there are two addresses, respectively merchandise less address and transaction acceptance side address, Wherein, address is the address of the block chain node itself, another address is its being traded with the block chain link point His block chain address of node.Transaction Information can fully reflect the trading activity of block chain node, specifically, be believed according to transaction Breath would know that block chain node specifically when by the virtual digit dollar spending of how many number give which block chain node, And know block chain node in the virtual digit how much numbers which block chain node is paid specifically when received Currency.The trading activity feature of block chain node in order to obtain needs the transaction letter for obtaining block chain node in the step s 100 Breath.Specifically, it can obtain all Transaction Informations of block chain node, or only obtain exchange hour in preset time range Transaction Information.Those skilled in the art can obtain Transaction Information according to actual needs, be not specifically limited herein.
Step S101 analyzes the Transaction Information of block chain node, obtains the trading activity feature of block chain node.
After the Transaction Information for obtaining block chain node, using preset algorithm in acquired Transaction Information Each information is analyzed, to obtain the trading activity feature of block chain node.Specifically, trading activity feature may include following It is one or more in feature:Exchange hour feature, trading frequency feature, transaction address feature and number of deals feature.For example, For some block chain node, the trading frequency analyzed be characterized as it is per minute transaction 10 times, number of deals is characterized as every time The number of deals received is 1 to 2 virtual digit currency.
Step S102 determines the representation data of block chain node according to the trading activity feature of block chain node.
In block chain network, can be by the Type division of each block chain node according to the working condition of block chain node Miner's node, ordinary node, suspect node, black node and token distribution node etc., wherein miner's node refer to contribution calculate power, In the block chain node for digging mine state, ordinary node refers to being not to dig mine state and be not present to steal coin, fraud, explosion or evil The block chain node of the abnormal behaviours such as meaning attack, suspect node refers to the block chain node there may be above-mentioned abnormal behaviour, black Node refers to determining there are the block chain node of above-mentioned abnormal behaviour, and token distribution node refers to raising fund, providing token and send out The block chain node of row service.Different types of block chain node has different trading activity features, in different time zone Block chain node also has different trading activity features.Therefore, area can be determined according to the trading activity feature of block chain node The data such as type, the residing time zone of block chain node, to obtain the representation data of block chain node.Wherein, representation data can wrap It includes:The data such as time zone residing for the type of block chain node, block chain node.
According to the representation data acquisition methods of block chain node provided in this embodiment, the transaction letter of block chain node is obtained Breath, then analyzes the Transaction Information of block chain node, the trading activity feature of block chain node is obtained, then according to area The trading activity feature of block chain node, determines the representation data of block chain node.Using technical solution provided by the invention, pass through The Transaction Information of block chain link point is analyzed, can precisely, easily determine the representation data of block chain node so that supervision department Deng the concrete condition that can easily obtain each block chain node according to representation data, effectively block chain network is supervised Pipe greatly improves the convenience of supervision block chain network.
Fig. 2 a show the flow of the representation data acquisition methods of block chain node in accordance with another embodiment of the present invention Schematic diagram, as shown in Figure 2 a, this method comprises the following steps:
Step S200 obtains the Transaction Information of block chain node.
Wherein, in Transaction Information include the information such as exchange hour, transaction address and/or number of deals, Transaction Information energy The trading activity of enough fully reflection block chain nodes, the trading activity feature of block chain node, needs to obtain block in order to obtain The Transaction Information of chain node.
Step S201 carries out exchange hour, transaction address and/or the number of deals in the Transaction Information of block chain node Analysis, obtains exchange hour feature, trading frequency feature, transaction address feature and/or the number of deals feature of block chain node.
It specifically, can be by the Transaction Information to block chain node for exchange hour feature and trading frequency feature Exchange hour analyzed to obtain;For transaction address feature, the transaction in the Transaction Information to block chain node can be passed through It is analyzed to obtain in address;For number of deals feature, can by the number of deals in the Transaction Information to block chain node into Row analysis obtains.
Step S202, the Transaction Information to presetting node are analyzed, and the trading activity feature of default node is obtained.
It, can be to the default section in known type, known residing time zone etc. for the ease of determining the representation data of block chain node The Transaction Information of point is analyzed, and the trading activity feature of default node is obtained.Wherein, default node includes:It is miner's node, general Logical node, suspect node, black node and/or token issue node.When specifically, to the transaction in the Transaction Information of default node Between, transaction address and/or number of deals analyzed, obtain the exchange hour feature, trading frequency feature, transaction of default node Address feature and/or number of deals feature.
By taking miner's node as an example, it is assumed that miner's node participates in contribution calculation power in mine pond and carries out digging mine, needs daily to institute Belong to the service charge of the primary certain number of mine pond payment, then miner's node is initiating a transaction daily, by the void of certain number Quasi- digital cash is paid to the block chain node corresponding to mine pond, then being analyzed by the Transaction Information to miner's node can Know, the exchange hour of miner's node is characterized as that daily set time, trading frequency are characterized as once a day, transaction address feature For fixed transaction address, number of deals is characterized as fixed number of deals.
By taking token issues node as an example, it is assumed that token distribution node can all receive 100 or more different areas daily The virtual digit currency of the different numbers of block chain node payment, then being divided by the Transaction Information for issuing the token node Analysis it is found that the exchange hour of token distribution node is characterized as being not fixed the time daily, trading frequency be characterized as daily 100 times with On, transaction address is characterized as that unfixed transaction address, number of deals are characterized as unfixed number of deals.
Step S203, between the trading activity feature of calculation block chain node and the trading activity feature of default node With score value.
After having obtained the trading activity feature of default node, the trading activity feature of calculation block chain node respectively with Matching score value between the trading activity feature of various default nodes.Include with default node:Miner's node and token distribution section For point, then in step S203, the trading activity feature of calculation block chain node and the trading activity feature of miner's node Between matching score value and calculation block chain node trading activity feature and token distribution node trading activity feature it Between matching score value.
Step S204 determines the default node to match according to the matching score value being calculated.
Wherein, can be determined in such a way that the matching score value that will be calculated is compared with predetermined threshold value match it is pre- If node.Predetermined threshold value can be arranged in those skilled in the art according to actual needs, be not specifically limited herein.For example, default threshold Value can be 80.Specifically, judge to match whether score value is more than predetermined threshold value;If it is determined that it is more than default threshold to obtain matching score value Value, then will match the corresponding default node of score value and be determined as the default node to match;If matching score value is less than default threshold Value, then will match the corresponding default node of score value and be determined as the default node not matched that.
Include with default node:Miner's node in each time zone and the token in each time zone issue node, in advance For if threshold value is 80, it is assumed that the trading activity of the trading activity feature of block chain node and miner's node in eastern eight time zones Matching score value between feature is 85, then obtaining the trading activity feature of block chain node judged and in eastern eight time zones Matching score value between the trading activity feature of miner's node is more than 80, then by miner's node in eastern eight time zones be determined as with The default node that the block chain node matches.
The representation data of the default node to match is determined as the representation data of block chain node by step S205.
After the default node to match is determined, the representation data of the default node to match is determined as block chain The representation data of node.For example, the default node to match is miner's node in eastern eight time zones, then when will be in east eight The representation data of miner's node in area is determined as the representation data of block chain node, specifically, the representation data of block chain node It may include:Time zone residing for the type of block chain node, block chain node, wherein the type of block chain node is miner's node, area Time zone residing for block chain node is eastern eight time zones.
Step S206 establishes node blacklist, node gray list according to the representation data of identified block chain node And/or node white list.
Specifically, according to the representation data of identified block chain node it is found which block chain node be black node, which A little block chain nodes are suspect node or token issues node, which block chain node is miner's node or ordinary node, will be true The block chain address of node for being set to black node is added in node blacklist, and the address that will determine as suspect node is added to section Point gray list will determine as miner address of node and the address for being determined as ordinary node and be added in node white list.It utilizes Node blacklist, node gray list and/or the node white list established can quickly determine block chain node and whether there is Abnormal behaviour, whether safety, help avoid user's loss of assets, realize effective supervision to block chain network.
In another optional embodiment, when determining the representation data of block chain node, depth can also be utilized Learning method.Deep learning is a kind of based on the method for carrying out representative learning to data in machine learning.Using deep learning Recognition methods processing is identified to the trading activity feature of block chain node, determine the representation data of block chain node.Example Such as, it obtains node representation data using the training in advance of deep learning method and identifies network, then known by node representation data Other network determines the representation data of block chain node, wherein node representation data identifies that network can be according to known type, known The trading activity feature of the block chain node in residing time zone etc. trains to obtain.Specifically, by the trading activity of block chain node spy Sign is input in node representation data identification network trained in advance, and output obtains the representation data of block chain node.
In the present invention, the modes such as the node gray list that can be established by the representation data or inquiry for inquiring block chain link point To determine whether some block chain node is suspect node.Optionally, in order to realize to the true identity information of suspect node Tracking, this method may also include:According to the Transaction Information of suspect node, determines and be associated with section with incidence relation with suspect node Point, according to the incidence relation between the address of suspect node, the address and suspect node and associated nodes of associated nodes, construction Then the corresponding number of addresses of suspect node searches whether there are the Transaction Information between associated nodes and centralization transaction platform, If so, obtaining the true identity information of associated nodes from centralization transaction platform.
Wherein, centralization transaction platform refers to the transaction platform for providing the services such as currency conversion, specifically, centralization transaction Platform can also can be by franc or other forms at the currency of franc either other forms by virtual digit currency conversion Currency conversion is virtual digit currency.Wherein, the requirement pair of centralization transaction platform is traded each with centralization transaction platform A block chain link point carries out system of real name authentication processing, to obtain the true identity information of these block chain nodes, to carry out Trade management.Specifically, the true identity information of block chain node may include the true surname of the user corresponding to block chain node Name information and effective identity certificate information etc..
And its true identity information exposes suspect node in order to prevent, generally will not directly be carried out with centralization transaction platform Transaction, is mostly to be conducted ideal money to other block chain nodes, then again by other block chains by way of repeatedly merchandising Node is traded with centralization transaction platform, to which ideal money is converted into franc or the currency of other forms.However Centralization transaction platform requires nothing more than pair each block chain link point being traded with a centralization transaction platform progress system of real name certification Processing, and suspect node is directly traded with centralization transaction platform, therefore be difficult the true of acquisition suspect node Identity information.After suspect node is determined, you can easily obtain the transaction of suspect node according to the address of suspect node Information determines the associated nodes for having incidence relation with suspect node then according to the Transaction Information of suspect node.
In the present invention, incidence relation refers to direct transaction relationship and indirect transaction relationship, then with suspect node Associated nodes with incidence relation refer to block chain node of the suspect node with direct transaction relationship and with indirectly Transaction relationship block chain node.For example, transaction was carried out between suspect node A and block chain node B, block chain node B Transaction was carried out between block chain node C, transaction was carried out between block chain node C and block chain node D, then block chain Node B is the block chain node for having direct transaction relationship with suspect node A, block chain node C and block chain node D be with Suspect node A has the block chain node of indirect transaction relationship, block chain node B, block chain node C and block chain node D It is the associated nodes that there is incidence relation with suspect node.
In a specific embodiment, incidence relation can be divided into n grades of relationships, n is more than 0, and those skilled in the art can root N is configured according to actual needs, is not specifically limited herein, for example, n could be provided as 5.It specifically, can be according to suspicious section Transaction address in the Transaction Information of point determines the 1st grade of associated nodes for having the 1st grade of relationship with suspect node;It is opened from t=2 Begin, for t grade relationships in n grade relationships, according to the transaction address in the Transaction Information of t-1 grades of associated nodes, determination and Suspect node has t grades of associated nodes of t grades of relationships;T is assigned a value of t+1, repeats this step, until t=n+1 is tied Beam.
It specifically, can be from the transaction address in the Transaction Information of suspect node for the 1st grade of relationship in n grades of relationships Obtain address in addition to the address of suspect node, then by the acquired corresponding block chain node in address be determined as with it is suspicious Node has the 1st grade of associated nodes of the 1st grade of relationship.For example, for suspect node A, two friendships of suspect node A have been got Easy information, this two Transaction Informations are respectively Transaction Information 1 and Transaction Information 2, the transaction address in Transaction Information 1 include two A address is respectively the address of the address and block chain node B of suspect node A, the transaction address in Transaction Information 2 include two A address is respectively the address of the address and block chain node C of suspect node A, then by block chain node B and block chain node C It is determined as the 1st grade of associated nodes that there is the 1st grade of relationship with suspect node A.
For t grades of relationships in n grades of relationships, obtained from the transaction address in the Transaction Information of t-1 grades of associated nodes The address except the address of t-1 grades of associated nodes is removed, is then determined as the acquired corresponding block chain node in address There are t grades of associated nodes of t grades of relationships with suspect node.By taking t is equal to 2 as an example, from the Transaction Information of the 1st grade of associated nodes In transaction address in obtain address in addition to the address of the 1st grade of associated nodes, then by the acquired corresponding area in address Block chain node is determined as the 2nd grade of associated nodes for having the 2nd grade of relationship with suspect node.It is assumed that the 1st grade of associated nodes include area Block chain node B and block chain node C.For block chain node B, two Transaction Informations of block chain node B are got, this two Transaction Information is respectively Transaction Information 1 and Transaction Information 3, two addresses difference that the transaction address in Transaction Information 1 includes For the address of the address and block chain node B of suspect node A, two addresses difference that the transaction address in Transaction Information 3 includes For the address of the address and block chain node D of block chain node B;For block chain node C, get block chain node C's Two Transaction Informations, this two Transaction Informations are respectively Transaction Information 2 and Transaction Information 4, the transaction address packet in Transaction Information 2 Two addresses included are respectively the address of the address and block chain node C of suspect node A, the transaction address packet in Transaction Information 4 Two addresses included are respectively the address of the address and block chain node E of block chain node C.So by block chain node D and area Block chain node E is determined as the 2nd grade of associated nodes for having the 2nd grade of relationship with suspect node A.
After n grades of associated nodes are determined, so that it may according to the address of suspect node, the address of associated nodes and suspicious Incidence relation between node and associated nodes, the corresponding number of addresses of construction suspect node.Specifically, by the address of suspect node As the root node of number of addresses, using the address of associated nodes as the child node of number of addresses, then according to suspect node be associated with Incidence relation between node determines that root node and the hierarchical relationship of child node, construction obtain the corresponding number of addresses of suspect node.
The corresponding number of addresses of suspect node is made of root node and child node, can in order to highlight that number of addresses corresponds to Node is doubted, it can be using the address of suspect node as the root node of number of addresses, using the address of associated nodes as the son of number of addresses Node determines the pass between root node and child node successively then according to the incidence relation between suspect node and associated nodes System and the relationship between child node and child node, to complete root node and child node hierarchical relationship determination work, structure It makes to obtain the corresponding number of addresses of suspect node.The number of addresses can clearly illustrate the address of suspect node and each associated nodes with And the incidence relation between suspect node and each associated nodes.
Using suspect node as suspect node A, for n is 2, with suspect node A there is the 1st grade of the 1st grade of relationship to be associated with section Point includes block chain node B and block chain node C, and it includes area to have the 2nd grade of associated nodes of the 2nd grade of relationship with suspect node A Block chain node D and block chain node E, wherein block chain node D and block chain node B carried out transaction, block chain node E with Block chain node C carried out transaction, then using the address of suspect node A as the root node A of number of addresses, by block chain node B, Child node B, child node C, son of the address of block chain node C, block chain node D and block chain node E respectively as number of addresses Node D and child node E, and child node B and child node C are connected with root node A respectively, and child node D is connected with child node B, son Node E is connected with child node C, and the corresponding numbers of addresses of suspect node A constructed can be as shown in Figure 2 b.
After associated nodes are determined and construct the corresponding number of addresses of suspect node, so that it may according to the ground of associated nodes Location easily obtains the Transaction Information of associated nodes, then searches whether that there are associated nodes and center from these Transaction Informations Change the Transaction Information between transaction platform.If obtained through lookup, there are the transaction between associated nodes and centralization transaction platform Information then obtains the true identity information of the associated nodes Jing Guo system of real name authentication processing from centralization transaction platform, then Supervision department etc. can utilize the true identity information and the corresponding number of addresses of suspect node of associated nodes, successively track and be somebody's turn to do Associated nodes have other associated nodes of incidence relation and/or the true identity information of suspect node, pair can to realize Doubt effective tracking of the true identity information of node.
Optionally, this method may also include:The true identity of each block chain node is obtained from centralization transaction platform The true identity information of each block chain address of node and each block chain node is bound, obtains each area by information Then the binding result of block chain node stores the binding result of each block chain node to the step in block chain network.
Since centralization transaction platform requires pair each block chain link point being traded with a centralization transaction platform progress System of real name authentication processing, then each block chain node Jing Guo system of real name authentication processing can be obtained from centralization transaction platform True identity information.In addition, in block chain network, each block chain address of node be it is disclosed, it is each obtaining It, can be by the true body of each block chain address of node and each block chain node after the true identity information of block chain node Part information is bound, and the binding result of each block chain node is obtained so that each block chain address of node is true with it Identity information is corresponding.Wherein, binding result can be address identity data of the data key values to form, specifically, by each area Block chain address of node is corresponding as data key using the true identity information of each block chain node as data key (Key) Data value (Value), obtain data key values corresponding with each block chain node to the address identity data of form to get to The address identity data of Key-Value forms.
After the binding result for having obtained each block chain node, by the binding result of each block chain node store to In block chain network, to carry out the supervision of block chain network.For example, when some block chain node exists as stolen coin, fraud, quick-fried When the abnormal behaviours such as broken or malicious attack, it is right that supervision department etc. according to binding result can be quickly found block chain node institute The user answered.It is data key values to the address identity data instance of form using binding result, when supervision department finds some block Chain node, using the block chain address of node as Key, can rapidly find corresponding Value there are when abnormal behaviour, To obtain the true identity information of the block chain node.Also, the binding result of each block chain node is stored to block In chain network, additionally it is possible to ensure data safety so that data are not tampered.
In addition, this method may also include:According to the transaction address in the Transaction Information of each block chain node, determine each Incidence relation between block chain node, according between the binding result and each block chain node of each block chain node The step of incidence relation, structure node network of personal connections, trading activity for supervising each block chain node according to node relationships net.
Since Transaction Information can fully reflect the trading activity of block chain node, so according to the transaction in Transaction Information Address can clearly know the incidence relation of the block chain node and other block chain nodes.Assuming that each block chain node packet Block chain node B, block chain node C and block chain node D are included, if according to the friendship in the Transaction Information of this 3 block chain nodes Easy address it is found that carried out transaction between block chain node B and block chain node C, block chain node C and block chain node D it Between carried out transaction, and transaction was not carried out between block chain node B and block chain node D, then block chain node B and area Incidence relation between block chain node C is direct transaction relationship, being associated between block chain node C and block chain node D System is direct transaction relationship, and the incidence relation between block chain node B and block chain node D is indirect transaction relationship.
After the incidence relation between each block chain node is determined, it can be closed each block chain node as node Each node in system's net, corresponding set is carried out by the binding result of each block chain node with each node in node relationships net It sets, and according to the incidence relation between each block chain node, determines the connection relation of each node in node relationships net, from And construct and obtain node relationships net, for supervising the trading activity of each block chain node according to node relationships net.The node closes Pass between each block chain address of node, true identity information and each block chain node can be clearly illustrated by being net Connection relationship.
Assuming that each block chain node includes block chain node A to block chain node G, wherein block chain node A and block Between chain node B, between block chain node A and block chain node C, between block chain node A and block chain node D, block chain Between node A and block chain node E, between block chain node D and block chain node F and block chain node E and block chain link Incidence relation between point G is direct transaction relationship, between block chain node A and block chain node F and block chain node A Incidence relation between block chain node G is indirect transaction relationship, then by block chain node A to block chain node G according to Node A to node G in the secondary net as node relationships, by the binding result of block chain node A to block chain node G respectively with section Node A to node G in point network of personal connections is correspondingly arranged, and according to the incidence relation between each block chain node, will be saved Node A in point network of personal connections is connected with node B, node C, node D, node E respectively, node D is connected with node F, by node E It is connected with node G, the node relationships net constructed can be as shown in Figure 2 c.
The present invention can not only track the true identity information of suspect node using the corresponding number of addresses of suspect node, also may be used The true identity information of suspect node is tracked using node relationships net.Specifically, it according to the address of suspect node, is closed from node The true identity information of suspect node is searched in system's net and/or searches the block chain node that there is incidence relation with suspect node True identity information.
Since node relationships net can clearly illustrate each block chain address of node, true identity information and each Incidence relation between block chain node, after being determined that some block chain node is suspect node, such as, it is determined that block Chain node A is suspect node, then suspicious section can rapidly be found out from node relationships net according to the address of suspect node The true identity information of point, additionally it is possible to the block chain node that there is incidence relation with suspect node is found out from node relationships net Address and its true identity information, to realize effective supervision to block chain network.
In addition, even if suspect node did not carry out transaction with centralization transaction platform, it can not be from centralization transaction platform The true identity information of suspect node is got, then can be associated with according to finding to have with suspect node in node relationships net Then the true identity information of the block chain node of system utilizes the true of the block chain node for having incidence relation with suspect node Identity information tracks the true identity information of suspect node.For example, supervision department utilizes has incidence relation with suspect node The true identity information of block chain node finds the user corresponding to the block chain node, then passes through the user tracking to node In network of personal connections with the true identity information of its other block chain node and/or suspect node with incidence relation, to realize Effective tracking to the true identity information of suspect node.
According to the representation data acquisition methods of block chain node provided in this embodiment, by the friendship for analyzing block chain link point Easy information can easily obtain the trading activity feature of block chain node;And by the trading activity feature of block chain node It is matched with the trading activity feature of default node or identifies friendship of the network to block chain node using node representation data Processing is identified in easy behavioural characteristic, can accurately determine the representation data of block chain node so that the bases such as supervision department Representation data can easily obtain the concrete condition of each block chain node;In addition, utilizing established node blacklist, section Point gray list and/or node white list, can quickly determine block chain node with the presence or absence of abnormal behaviour, whether safety, have Help avoid user's loss of assets, realizes effective supervision to block chain network.The technical solution, which additionally provides, to track The effective way of the true identity information of suspect node constructs the corresponding number of addresses of suspect node, can by the number of addresses It clearly illustrates the incidence relation between the address and suspect node and each associated nodes of suspect node and each associated nodes, makes Supervision department etc. using the true identity information and the corresponding number of addresses of suspect node of associated nodes, can be convenient, effectively Realize the tracking to the true identity information of suspect node.In addition, the technical solution can also be by each area in block chain network Block chain address of node and its true identity information are bound so that supervision department etc. can easily obtain according to binding result The true identity information for obtaining each block chain node, convenient for being supervised to the trading activity of each block chain node;It can also root According to the Transaction Information of each block chain node, the incidence relation between each block chain node, structure node network of personal connections, profit are determined The true identity information that suspect node is rapidly searched with the node relationships net constructed greatly improves supervision block link network The convenience of network.
Fig. 3 shows the structural frames of the representation data acquisition device of block chain node according to an embodiment of the invention Figure, as shown in figure 3, the device includes:Acquisition module 301, analysis module 302 and determining module 303.
Acquisition module 301 is suitable for:Obtain the Transaction Information of block chain node.
Analysis module 302 is suitable for:The Transaction Information of block chain node is analyzed, the transaction row of block chain node is obtained It is characterized.
Specifically, analysis module 302 is further adapted for:To the exchange hour in the Transaction Information of block chain node, transaction Address and/or number of deals are analyzed, and the exchange hour feature, trading frequency feature, transaction address of block chain node are obtained Feature and/or number of deals feature.
Optionally, analysis module 302 is further adapted for:Transaction Information to presetting node is analyzed, and default section is obtained The trading activity feature of point.Specifically, the exchange hour in Transaction Information of the analysis module 302 to presetting node, transaction address And/or number of deals is analyzed, obtain the exchange hour feature of default node, trading frequency feature, transaction address feature and/ Or number of deals feature.Wherein, default node includes:Miner's node, ordinary node, suspect node, black node and/or token hair Row node.
Determining module 303 is suitable for:According to the trading activity feature of block chain node, the portrait number of block chain node is determined According to.
Optionally it is determined that module 303 is further adapted for:The trading activity feature of calculation block chain node and default node Matching score value between trading activity feature;According to the matching score value being calculated, the default node to match is determined;By phase The representation data for the default node matched is determined as the representation data of block chain node.Specifically, it is determined that module 303 can determine whether to match Whether score value is more than predetermined threshold value;If so, will match the corresponding default node of score value is determined as the default node to match.
Optionally it is determined that module 303 is further adapted for:The trading activity feature of block chain node is input to advance training Node representation data identification network in, output obtain the representation data of block chain node.
Optionally, which further includes:List establishes module 304, is suitable for the portrait according to identified block chain node Data establish node blacklist, node gray list and/or node white list.
Wherein, which can be executed according to above-mentioned each method embodiment, and details are not described herein again.
According to the representation data acquisition device of block chain node provided in this embodiment, by the friendship for analyzing block chain link point Easy information can easily obtain the trading activity feature of block chain node;And by the trading activity feature of block chain node It is matched with the trading activity feature of default node or identifies friendship of the network to block chain node using node representation data Processing is identified in easy behavioural characteristic, can accurately determine the representation data of block chain node so that the bases such as supervision department Representation data can easily obtain the concrete condition of each block chain node;In addition, utilizing established node blacklist, section Point gray list and/or node white list, can quickly determine block chain node with the presence or absence of abnormal behaviour, whether safety, have Help avoid user's loss of assets, realizes effective supervision to block chain network.
The present invention also provides a kind of nonvolatile computer storage media, computer storage media is stored at least one can It executes instruction, executable instruction can perform the representation data acquisition methods of the block chain node in above-mentioned any means embodiment.
Fig. 4 shows a kind of structural schematic diagram of computing device according to the ... of the embodiment of the present invention, the specific embodiment of the invention The specific implementation of computing device is not limited.
As shown in figure 4, the computing device may include:Processor (processor) 402, communication interface (Communications Interface) 404, memory (memory) 406 and communication bus 408.
Wherein:
Processor 402, communication interface 404 and memory 406 complete mutual communication by communication bus 408.
Communication interface 404, for being communicated with the network element of miscellaneous equipment such as client or other servers etc..
Processor 402 can specifically execute the representation data acquisition side of above-mentioned block chain node for executing program 410 Correlation step in method embodiment.
Specifically, program 410 may include program code, which includes computer-managed instruction.
Processor 402 may be central processor CPU or specific integrated circuit ASIC (Application Specific Integrated Circuit), or be arranged to implement the integrated electricity of one or more of the embodiment of the present invention Road.The one or more processors that computing device includes can be same type of processor, such as one or more CPU;Also may be used To be different types of processor, such as one or more CPU and one or more ASIC.
Memory 406, for storing program 410.Memory 406 may include high-speed RAM memory, it is also possible to further include Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.
Program 410 specifically can be used for so that processor 402 executes the block chain node in above-mentioned any means embodiment Representation data acquisition methods.The specific implementation of each step may refer to the representation data of above-mentioned block chain node in program 410 Corresponding description in corresponding steps and the unit in embodiment is obtained, this will not be repeated here.Those skilled in the art can be clear Recognize to Chu, for convenience and simplicity of description, the equipment of foregoing description and the specific work process of module, can refer to aforementioned Corresponding process description in embodiment of the method, details are not described herein.
Algorithm and display be not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein. Various general-purpose systems can also be used together with teaching based on this.As described above, it constructs required by this kind of system Structure be obvious.In addition, the present invention is not also directed to any certain programmed language.It should be understood that can utilize various Programming language realizes the content of invention described herein, and the description done above to language-specific is to disclose this hair Bright preferred forms.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention Example can be put into practice without these specific details.In some instances, well known method, structure is not been shown in detail And technology, so as not to obscure the understanding of this description.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of each inventive aspect, Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention:It is i.e. required to protect Shield the present invention claims the more features of feature than being expressly recited in each claim.More precisely, as following Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore, Thus the claims for following specific implementation mode are expressly incorporated in the specific implementation mode, wherein each claim itself All as a separate embodiment of the present invention.
Those skilled in the art, which are appreciated that, to carry out adaptively the module in the equipment in embodiment Change and they are arranged in the one or more equipment different from the embodiment.It can be the module or list in embodiment Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it may be used any Combination is disclosed to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so to appoint Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power Profit requires, abstract and attached drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments In included certain features rather than other feature, but the combination of the feature of different embodiments means in of the invention Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed One of meaning mode can use in any combination.
The all parts embodiment of the present invention can be with hardware realization, or to run on one or more processors Software module realize, or realized with combination thereof.It will be understood by those of skill in the art that can use in practice Microprocessor or digital signal processor (DSP) are come one of some or all components in realizing according to embodiments of the present invention A little or repertoire.The present invention is also implemented as setting for executing some or all of method as described herein Standby or program of device (for example, computer program and computer program product).It is such to realize that the program of the present invention deposit Storage on a computer-readable medium, or can have the form of one or more signal.Such signal can be from because of spy It downloads and obtains on net website, either provide on carrier signal or provide in any other forms.
It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims, Any reference mark between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real It is existing.In the unit claims listing several devices, several in these devices can be by the same hardware branch To embody.The use of word first, second, and third does not indicate that any sequence.These words can be explained and be run after fame Claim.
The invention discloses:A1. a kind of representation data acquisition methods of block chain node, the method includes:
Obtain the Transaction Information of block chain node;
The Transaction Information of the block chain node is analyzed, the trading activity feature of the block chain node is obtained;
According to the trading activity feature of the block chain node, the representation data of the block chain node is determined.
A2. the method according to A1, wherein the Transaction Information to the block chain node is analyzed, and is obtained The trading activity feature of the block chain node further comprises:
Exchange hour, transaction address and/or number of deals in the Transaction Information of the block chain node is analyzed, Obtain exchange hour feature, trading frequency feature, transaction address feature and/or the number of deals feature of the block chain node.
A3. the method according to A1 or A2, wherein the trading activity feature according to the block chain node, really The representation data of the fixed block chain node further comprises:
Calculate the matching point between the trading activity feature of the block chain node and the trading activity feature of default node Value;
According to the matching score value being calculated, the default node to match is determined;
The representation data of the default node to match is determined as to the representation data of the block chain node.
A4. the method according to A3, wherein the matching score value that the basis is calculated determines that is matched presets Node further comprises:
Judge whether the matching score value is more than predetermined threshold value;
If so, the corresponding default node of the matching score value is determined as the default node to match.
A5. the method according to A3 or A4, wherein the trading activity feature for calculating the block chain node with Before matching score value between the trading activity feature of default node, the method further includes:
The Transaction Information of the default node is analyzed, the trading activity feature of the default node is obtained.
A6. according to A3-A5 any one of them methods, wherein the default node includes:Miner's node, ordinary node, Suspect node, black node and/or token issue node.
A7. the method according to A1 or A2, wherein the trading activity feature according to the block chain node, really The representation data of the fixed block chain node further comprises:
The trading activity feature of the block chain node is input in node representation data identification network trained in advance, Output obtains the representation data of the block chain node.
A8. according to A1-A7 any one of them methods, wherein in the representation data of the determination block chain node Later, the method further includes:
According to the representation data of the identified block chain node, node blacklist, node gray list and/or section are established Point white list.
The invention also discloses:B9. a kind of representation data acquisition device of block chain node, described device include:
Acquisition module is suitable for obtaining the Transaction Information of block chain node;
Analysis module is analyzed suitable for the Transaction Information to the block chain node, obtains the block chain node Trading activity feature;
Determining module is suitable for the trading activity feature according to the block chain node, determines the picture of the block chain node As data.
B10. the device according to B9, wherein the analysis module is further adapted for:
Exchange hour, transaction address and/or number of deals in the Transaction Information of the block chain node is analyzed, Obtain exchange hour feature, trading frequency feature, transaction address feature and/or the number of deals feature of the block chain node.
B11. the device according to B9 or B10, wherein the determining module is further adapted for:
Calculate the matching point between the trading activity feature of the block chain node and the trading activity feature of default node Value;
According to the matching score value being calculated, the default node to match is determined;
The representation data of the default node to match is determined as to the representation data of the block chain node.
B12. the device according to B11, wherein the determining module is further adapted for:
Judge whether the matching score value is more than predetermined threshold value;
If so, the corresponding default node of the matching score value is determined as the default node to match.
B13. the device according to B11 or B12, wherein the analysis module is further adapted for:
The Transaction Information of the default node is analyzed, the trading activity feature of the default node is obtained.
B14. according to B11-B13 any one of them devices, wherein the default node includes:Miner's node, common section Point, suspect node, black node and/or token issue node.
B15. the device according to B9 or B10, wherein the determining module is further adapted for:
The trading activity feature of the block chain node is input in node representation data identification network trained in advance, Output obtains the representation data of the block chain node.
B16. according to B9-B15 any one of them devices, wherein described device further includes:
List establishes module, is suitable for according to the representation data of the identified block chain node, establish node blacklist, Node gray list and/or node white list.
The invention also discloses:C17. a kind of computing device, including:Processor, memory, communication interface and communication are total Line, the processor, the memory and the communication interface complete mutual communication by the communication bus;
The memory makes the processor execute such as storing an at least executable instruction, the executable instruction The corresponding operation of representation data acquisition methods of block chain node described in any one of A1-A8.
The invention also discloses:D18. a kind of computer storage media, being stored at least one in the storage medium can hold Row instruction, the representation data that the executable instruction makes processor execute the block chain node as described in any one of A1-A8 obtain Take the corresponding operation of method.

Claims (10)

1. a kind of representation data acquisition methods of block chain node, the method includes:
Obtain the Transaction Information of block chain node;
The Transaction Information of the block chain node is analyzed, the trading activity feature of the block chain node is obtained;
According to the trading activity feature of the block chain node, the representation data of the block chain node is determined.
2. according to the method described in claim 1, wherein, the Transaction Information to the block chain node is analyzed, and is obtained Trading activity feature to the block chain node further comprises:
Exchange hour, transaction address and/or number of deals in the Transaction Information of the block chain node is analyzed, is obtained Exchange hour feature, trading frequency feature, transaction address feature and/or the number of deals feature of the block chain node.
3. method according to claim 1 or 2, wherein the trading activity feature according to the block chain node, really The representation data of the fixed block chain node further comprises:
Calculate the matching score value between the trading activity feature of the block chain node and the trading activity feature of default node;
According to the matching score value being calculated, the default node to match is determined;
The representation data of the default node to match is determined as to the representation data of the block chain node.
4. according to the method described in claim 3, wherein, the matching score value that the basis is calculated, determination matches pre- If node further comprises:
Judge whether the matching score value is more than predetermined threshold value;
If so, the corresponding default node of the matching score value is determined as the default node to match.
5. method according to claim 3 or 4, wherein in the trading activity feature for calculating the block chain node Before matching score value between the trading activity feature of default node, the method further includes:
The Transaction Information of the default node is analyzed, the trading activity feature of the default node is obtained.
6. according to claim 3-5 any one of them methods, wherein the default node includes:Miner's node, common section Point, suspect node, black node and/or token issue node.
7. method according to claim 1 or 2, wherein the trading activity feature according to the block chain node, really The representation data of the fixed block chain node further comprises:
The trading activity feature of the block chain node is input in node representation data identification network trained in advance, output Obtain the representation data of the block chain node.
8. a kind of representation data acquisition device of block chain node, described device include:
Acquisition module is suitable for obtaining the Transaction Information of block chain node;
Analysis module is analyzed suitable for the Transaction Information to the block chain node, obtains the transaction of the block chain node Behavioural characteristic;
Determining module is suitable for the trading activity feature according to the block chain node, determines the portrait number of the block chain node According to.
9. a kind of computing device, including:Processor, memory, communication interface and communication bus, the processor, the storage Device and the communication interface complete mutual communication by the communication bus;
The memory makes the processor execute as right is wanted for storing an at least executable instruction, the executable instruction Ask the corresponding operation of representation data acquisition methods of the block chain node described in any one of 1-7.
10. a kind of computer storage media, an at least executable instruction, the executable instruction are stored in the storage medium Make the corresponding behaviour of representation data acquisition methods of block chain node of the processor execution as described in any one of claim 1-7 Make.
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Application publication date: 20180921