CN117333306A

CN117333306A - Time sequence-based encrypted currency fund analysis method

Info

Publication number: CN117333306A
Application number: CN202311380773.2A
Authority: CN
Inventors: 肖斯文
Original assignee: Chengdu Li'an Technology Co ltd
Current assignee: Chengdu Li'an Technology Co ltd
Priority date: 2023-10-23
Filing date: 2023-10-23
Publication date: 2024-01-02

Abstract

The invention discloses a time sequence-based method for analyzing money of cryptocurrency, which relates to the field of analysis of the cryptocurrency and comprises the following steps: constructing a transaction database based on transaction data on the blockchain; classifying each transaction data in a transaction database; based on the input node, respectively extracting transaction data from a transaction database aiming at different types of transaction data to obtain a first data structure to an nth data structure through processing; drawing a topological graph based on the first data structure to the nth data structure, and carrying out cryptocurrency fund analysis based on the topological graph; the method can accurately and efficiently analyze the encrypted money funds.

Description

Time sequence-based encrypted currency fund analysis method

Technical Field

The invention relates to the field of cryptocurrency analysis, in particular to a time sequence-based cryptocurrency fund analysis method.

Background

At present, with the analysis of the cryptocurrency funds of the blockchain, as various analysis scenes such as abnormal behaviors of the cryptocurrency are deeper and deeper, various scenes become more complicated, on one hand, the sources and the directions of the funds are more complicated, and on the other hand, various functional contracts are more and more.

In the prior art, the analysis mode of the cryptocurrency funds is usually based on analysis of transaction objects, such as analysis based on transaction addresses, and all transaction addresses related to the case-related addresses are usually called out and then analyzed, so that the problem is that the transaction data volume of the case-related addresses is relatively large when the cryptocurrency is abnormally operated, the transaction address objects extracted from the case-related addresses have a large data volume, the fund analysis data volume of the case-related addresses is large, and the trend of funds is not easy to be accurately locked.

Disclosure of Invention

In order to accurately analyze cryptocurrency funds and reduce the amount of data analyzed, the present invention provides a time-series-based cryptocurrency funds analysis method comprising:

step 1: constructing a transaction database based on transaction data on the blockchain;

step 2: classifying each transaction data in a transaction database based on the account type of the account in each transaction data and specific transaction information;

step 3: obtaining input nodes, extracting transaction data from a transaction database respectively aiming at different types of transaction data based on the input nodes to obtain a plurality of first data structures, sorting the plurality of first data structures to obtain a first sorting result, and obtaining a first transfer-out node based on the first sorting result;

taking the first output node as an input node, obtaining a first transaction time of the first output node, respectively extracting transaction data from a transaction database according to different types of transaction data to obtain a plurality of second data structures based on the input node and the transaction time which is later than or equal to the first transaction time, sorting the plurality of second data structures to obtain a second sorting result, and obtaining the second output node based on the second sorting result;

......

taking the n-1-th transfer-out node as an input node to obtain n-1-th transaction time of the n-1-th transfer-out node, and respectively extracting transaction data from a transaction database according to different types of transaction data based on the input node and the transaction time which is later than or equal to the n-1-th transaction time to obtain a plurality of n-th data structures, wherein n is an integer larger than 2;

step 4: and drawing a topological graph based on the first data structure to the nth data structure, and performing cryptocurrency fund analysis based on the topological graph.

Wherein, unlike the prior art, the prior art analyzes the address related to the case-related address based on the target address, which extracts transaction data before the abnormal behavior time point of the cryptocurrency from the blockchain, the transaction data increases the analysis workload to reduce the working efficiency, and causes inaccurate analysis of the abnormal behavior funds of the cryptocurrency,

in order to accurately analyze the source and the destination of funds, the method introduces a time line for transferring funds to perform funds analysis, namely, the funds are analyzed immediately, for example, the transaction time of a corresponding node is obtained, only transaction data after the transaction time is extracted in the subsequent analysis, and meanwhile, because the function contract realizes complex funds logic, the analysis of the function contract based on the transaction time is more needed. The time sequence fund analysis can effectively track the fund according to the time sequence, so that the data volume of analysis is reduced on one hand, and the accurate analysis of the fund is realized on the other hand.

In some embodiments, the step 1 specifically includes: and constructing a block chain full node, analyzing transaction data on the block chain full node, and inputting the analyzed transaction data into a database to construct a transaction database. All transaction data on the blockchain can be obtained by constructing the blockchain full node, so that accurate analysis of funds is realized.

In some embodiments, the nodes in the topology graph are nodes in the first through nth data structures, and the lines in the topology graph are connections between the nodes, the direction of the connections representing the flow of funds. By drawing the topological graph, the fund trend and the fund inflow and outflow objects of abnormal behaviors of the encrypted currency can be clearly and intuitively displayed.

In some embodiments, the step 4 further includes clicking a node in the topology map, and displaying node information corresponding to the node.

In some embodiments, the step 4 further includes clicking a line in the topology map, and displaying transaction information between the 2 nodes corresponding to the line.

In some embodiments, the method further includes step 5 of selecting a node in the topology map as an input node to obtain a corresponding data structure to draw a corresponding topology map, so as to facilitate continuous analysis.

In some embodiments, the categories of transaction data include: external transactions, internal transactions, token contract-triggered token transactions, and normal contract-triggered token transactions. The transaction data can be accurately classified through the classification, and different types of analysis can be accurately performed on funds through classifying the transaction data. In the method, under the scene of time sequence analysis, analysis of contract call generation transaction is introduced, so that the fund circulation under certain contract control can be analyzed, and the gap that the fund circulation under the contract control cannot be analyzed in the prior art is filled.

In some embodiments, the ordering is performed in step 3 in chronological order of transactions or in order of transaction amount. Through sequencing and then extracting core data in sequencing, data most relevant to abnormal behaviors of the cryptocurrency can be grasped on one hand, the data quantity can be reduced, interference can be eliminated, analysis accuracy is guaranteed, and analysis efficiency is improved on the other hand.

In some embodiments, the step 1 transaction data is:

transaction data corresponding to a single currency in a single blockchain, or transaction data corresponding to multiple currencies in a single blockchain, or transaction data corresponding to a single currency in multiple blockchains, or transaction data corresponding to multiple currencies in multiple blockchains.

The method can realize fund analysis of a single currency in a single blockchain, multiple currencies in the single blockchain, the single currency in multiple blockchains and multiple currencies in multiple blockchains.

In some embodiments, different types of nodes in the topology are represented using different symbols. The required data can be quickly identified by using different symbols.

In some embodiments, the method further comprises: in the topological graph, according to the transaction types among nodes, the connection lines among the nodes are marked with the transaction types. The required data can be rapidly identified through the labeling of the transaction type.

The one or more technical schemes provided by the invention have at least the following technical effects or advantages:

the method can accurately and efficiently analyze the encrypted money funds.

Drawings

The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention;

FIG. 1 is a flow diagram of a time-series-based method of cryptocurrency funds analysis;

FIG. 2 is a schematic flow chart of the method;

FIG. 3 is a diagram of different types of transaction topologies;

figure 4 is a schematic diagram of a direct token transaction;

figure 5 is a schematic diagram of an indirect token transaction.

Detailed Description

In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. In addition, the embodiments of the present invention and the features in the embodiments may be combined with each other without collision.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than within the scope of the description, and the scope of the invention is therefore not limited to the specific embodiments disclosed below.

Example 1

Referring to fig. 1, fig. 1 is a flow chart of a time sequence-based cryptocurrency fund analysis method, and the invention provides a time sequence-based cryptocurrency fund analysis method, which comprises the following steps:

......

The method is specifically described as follows:

cryptocurrency transaction data extraction:

1. and acquiring original blockchain data from the blockchain full node, analyzing transaction data in the original blockchain data, and storing the transaction data into a database.

2. The calling relationship of different account types (external account, contract account (token contract account and common contract account)) generates different types of transactions. The purpose of classifying transactions is that because different transaction types represent different behaviors, we can have different data structures for the different behaviors, the presented topological graphs are different, funds of the different behaviors need to be displayed separately, so that the funds can be locked conveniently, and the subsequent funds flow based on a time line is more accurate.

3. Based on the input nodes, different structures are respectively extracted and formed for different types of transaction data, and are ordered, and marked as a first transfer-out node:

the structure is a data structure of information required by returning to the spectrogram, such as marks of contract call, money transfer and money transfer, each data structure is an abstraction of transaction, the ordering is based on time or amount of the transaction, and the positive sequence and the negative sequence can be set. For example, 5 nodes are searched out in the step 3, and when one node is selected to continue searching backwards, the transaction of the node searched out in the step 3 in the transaction occurrence is satisfied. For example, A transfers funds to B at time T1, while search B transfers funds to C at time T2, then T2 is required to be greater than T1.

4. And taking the first output node as an input node, respectively extracting and forming different structures for different types of transaction data based on the time of occurrence of the transaction of the first output node, and sequencing the transaction data, and marking the transaction data as a second output node. The input node of the 4 th step is one of the output nodes of the 3 rd step, and the T1-B-T2-C is the A output node and the B output node of the 3 rd step; the subsequent input node is B and the output node is C. T2 is greater than T1 because the transaction that B takes place at time T1 is independent of the current A-to-B-to-C, we only analyze what B did after the A-to-B transfer of funds occurred, who given the funds, and not the behavior of B before receiving A funds.

5. Drawing a topological graph: and (3) drawing a topological graph by utilizing the data structures of the step 3 and the step 4, and clicking nodes in the topological graph to view node information after drawing, and clicking lines in the topological graph to view transaction information.

The method provides time sequence fund analysis capability aiming at single block chain single currency, single block chain multi-currency and multi-block chain cross-chain, provides time sequence fund analysis capability aiming at origin transfer-out or transfer-in, and can provide different analysis capability aiming at external accounts and contract accounts.

Wherein, part of technical terms are defined as:

external account: an account controlled by a pair of public and private keys is automatically created when a user initiates a transaction;

contract account: automatically created by a deployment contract transaction (CREATE, CREATE 2), without being controlled by a private key, containing (token contract account and normal contract account);

token contract account: refers to an account corresponding to a certain token on a blockchain;

common contract account: realizing user-defined business logic;

transaction data: transfer records occurring on a blockchain;

external transaction: transactions initiated by an external account (EOA) such as ETH transfers, deployment contracts, etc. Typically a transaction initiated by a user.

Internal transaction: in the external transaction execution process, the transaction executed by the external transaction calling contract represents the specific execution process of the external transaction, one external transaction can contain a plurality of internal transactions, the internal transaction has no independent transaction hash, in the scheme, the external transaction is different from the token transaction, and the internal transaction realizes the fund transfer of the blockchain home currency

Token transactions: in the external transaction execution process, the transaction executed by the external transaction calling contract represents the specific execution process of the external transaction, one external transaction can contain a plurality of medal transactions, the medal transactions have no independent transaction hash, and the medal transactions realize the fund transfer of the blockchain medal;

token contract triggered token transactions: invoking a token funds transfer directly generated by a token contract from an external transaction;

common contract triggered token transactions: the common contract is invoked by an external transaction and the transfer of funds to the token is effected in a common contract business.

Wherein, the analysis of the funds flow of transactions under contract control is achieved by the token transaction triggered by the token contract and the analysis of the token transaction triggered by the common contract.

The method is described in detail below in conjunction with fig. 2:

referring to fig. 2, fig. 2 is a schematic flow chart of the method:

1.1 inputting an origin;

1.2 query external and internal transactions for data elements (origin, first egress node 1, time 1), (origin, first egress node 2, time 2.) n.group, the first egress node may be an external account or a contract account, the origin is the node of the input.

1.3 querying direct token transaction acquisition data elements (origin, first transfer-out node 3, time 3), (origin, first transfer-out node 4, time 4.) n groups, where transfer-out nodes are all considered external accounts;

1.4 querying an indirect token transaction for a data element (origin, common contract triggering the present funds transfer as first egress node 5, time 5, node of the funds transfer as second egress node 51), (origin, common contract triggering the present funds transfer as first egress node 6, time 6, node of the funds transfer as second egress node 61.. N groups;

1.5 selecting the first m points according to the data elements and customizing the screening rules, drawing a topological graph, and adding m points to the topological graph at a time through operation, wherein the screening rules are usually transaction number, transaction amount, transaction time and the like.

1.6 selecting any roll-out node in the graph as the origin, and repeating the above steps for the next time by time in the data element (the screening node is a transaction that selects a time greater than or equal to the time in the data element).

2. Different types of transaction presentation logic:

2.1 external transaction, internal transaction

To illustrate the case of contract invocation, please refer to fig. 3, fig. 3 is a topology of different types of transactions, fig. 3 contains the results presented by multiple operations, triangles identifying contract accounts, circles identifying external accounts, the first case transferring money: directly realizing origin to transfer the home currency to the first transfer-out node 1; second case contract call: the origin calls the contract first transfer node 2, and one or more logics of transferring tokens, transferring money and contract calling are realized based on the call (namely the transaction).

2.2 direct token transactions

Direct token transaction schematic referring to fig. 4, a direct token transaction is described in which the origin transfers tokens directly to a first transfer-out node.

2.3 Indirect token transactions

Indirect token transaction schematic referring to fig. 5, an indirect token transaction depicts an origin transferring tokens to a second transfer-out node under the control of a contract first transfer-out node.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims

1. A method of time-series based cryptocurrency funds analysis, the method comprising:

......

2. The time-series-based cryptocurrency funds analysis method according to claim 1, wherein the step 1 specifically includes: and constructing a block chain full node, analyzing transaction data on the block chain full node, and inputting the analyzed transaction data into a database to construct a transaction database.

3. The time-series-based cryptocurrency funds analysis method of claim 1, wherein nodes in the topology are nodes in the first data structure through the nth data structure, lines in the topology are connections between the nodes, and a direction of the connections represents a flow direction of funds.

4. A time-series-based cryptocurrency funds analysis method according to claim 3, wherein the step 4 further comprises clicking a node in the topological graph to display node information corresponding to the node; clicking a line in the topological graph, and displaying transaction information among the 2 nodes corresponding to the line.

5. A time series based cryptocurrency funds analysis method according to claim 1, further comprising the step of 5 selecting nodes in the topology map as input nodes to obtain a corresponding data structure to map the corresponding topology map.

6. A time series-based cryptocurrency funds analysis method as claimed in claim 1, wherein the category of transaction data includes: external transactions, internal transactions, token contract-triggered token transactions, and normal contract-triggered token transactions.

7. A time series-based cryptocurrency funds analysis method according to claim 1, wherein in step 3, the ordering is performed in order of time series of transactions or order of magnitude of transaction amount.

8. The time-series-based cryptocurrency funds analysis method of claim 1, wherein the step 1 transaction data is:

9. A time series based cryptocurrency funds analysis method as claimed in claim 3, wherein different types of nodes in the topology are represented using different symbols.

10. A time-series based cryptocurrency funds analysis method as claimed in claim 3, wherein the method further comprises: in the topological graph, according to the transaction types among nodes, the connection lines among the nodes are marked with the transaction types.