CN109636370B - Back washing money analysis method for blockchain account book - Google Patents
Back washing money analysis method for blockchain account book Download PDFInfo
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- CN109636370B CN109636370B CN201811474017.5A CN201811474017A CN109636370B CN 109636370 B CN109636370 B CN 109636370B CN 201811474017 A CN201811474017 A CN 201811474017A CN 109636370 B CN109636370 B CN 109636370B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/22—Payment schemes or models
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to a backwashed money analysis method aiming at a blockchain ledger. Comprising the following steps: step 1, downloading current blockchain public account book data, and selecting an account from the current blockchain account book data; and 2, calculating a payment transaction path according to the transaction times in the selected account, the amount of each transaction and the UTXO of the transaction, and calculating the repeatability of the final collection account of all paths, wherein if the paths form a double sector, the money laundering suspicion exists. The method has the advantages of high analysis efficiency, high accuracy and good flexibility. The method is based on the invisible polymerization divergence model provided by the invention.
Description
Technical Field
The invention relates to the field of blockchain digital currency, in particular to a money back-washing analysis method for a blockchain ledger.
Background
An important issue in blockchain digital currency is that the account number is anonymous and thus money laundering is possible. It is also an important question of whether blockchain digital currency can be widely used.
Disclosure of Invention
The technical problems of the invention are mainly solved by the following technical proposal:
a backwashed money analysis method for a blockchain account book is characterized by comprising the following steps of
Step 1, downloading current blockchain public account book data, and selecting an account from the current blockchain account book data;
and 2, calculating a payment transaction path according to the transaction times in the selected account, the amount of each transaction and the UTXO of the transaction, and calculating the repeatability of the final collection account of all paths, wherein if the paths form a double sector, the money laundering suspicion exists.
In the foregoing method for analyzing the backwashed money of the blockchain ledger, in step 1, an account is selected to be defined as an account a, and the selection mode is as follows: and selecting an account A from the transaction accounts which are ranked n times before and accord with the set time period in the transaction amount in the current blockchain account data.
In the foregoing method for analyzing the backwashed money of the blockchain ledger, the step 2 specifically includes:
and 2.1, calculating the transaction times paid by the account A, and recording the transaction times as K. The UTXOs paid for each transaction were recorded as UTXOs [1], UTXOs [2], UTXOs [3],.
Step 2.2, for each amount of payment UTXO, UTXO [ i ], calculating a payment transaction Path [ i ] for the UTXO, and adding the collection account record for each transaction to a set S [ i ], tracking and calculating a Path Length of the payment as Length. (i.e., adding to set S all transaction accounts for which subsequent Length pays the UTXO).
Step 2.3, calculating S [ i ], i=1, 2,3, & gt, intersection of K, i.e. calculating ss=s [1] & gts [2] & gts [ K ].
Step 2.4, detecting the number of accounts in the SS, if the number of accounts is 0, adjusting the Length, and recalculating the steps 2.1 to 2.3 to obtain the SS, and judging according to the SS:
judging that if the 'double sectors' are found in the 1 and the SS, namely 2 sectors corresponding to two nodes are in and out, and the two nodes are suspected to correspond to the same entity, the money laundering suspects.
Judging that if the account A exists in the 2 and the SS, indicating that a loop exists in the transaction process, and checking the account in the loop with emphasis. Possibly with internal mutual funds transfer.
In the above-mentioned method for analyzing the back-washed money of the blockchain ledger, in step 2, in order to reduce the number of tracking accounts, only the set large payment amount is tracked during tracking, and the change amount UTXO is not tracked, i.e. the change address is not added to the set S.
Therefore, the invention has the following advantages: the method has the advantages of high analysis efficiency, high accuracy and good flexibility. The method is based on the invisible polymerization divergence model provided by the invention.
Drawings
Fig. 1 is a double sector schematic of the present invention.
Fig. 2 is a schematic diagram of a model 1 of the present invention.
Fig. 3 is a schematic diagram of model 2 of the present invention (the a account and SS account in fig. 2 may be the same).
Fig. 4 is a schematic flow chart of the method of the present invention.
Fig. 5 is a schematic flow chart of the algorithm of the invention.
Detailed Description
The technical scheme of the invention is further specifically described below through examples and with reference to the accompanying drawings.
Examples:
the invention relates to a backwashed money analysis method aiming at a blockchain ledger, which is characterized in that,
step 1, downloading current blockchain public account book data, and selecting an account from the current blockchain account book data; in the step 1, an account is selected as an account A, and the selection mode is as follows: and selecting an account A from the transaction accounts which are ranked n times before and accord with the set time period in the transaction amount in the current blockchain account data.
Step 2, calculating a payment transaction path according to the transaction times in the selected account, the amount of each transaction and the UTXO of the transaction, and calculating the repeatability of the final collection account of all paths, wherein if the paths form a double sector, the suspicion of money laundering exists, and the method specifically comprises the following steps:
and 2.1, calculating the transaction times paid by the account A, and recording the transaction times as K. The UTXOs paid for each transaction were recorded as UTXOs [1], UTXOs [2], UTXOs [3],.
Step 2.2, for each payment amount UTXO, i.e. UTXO [ i ], calculating a payment transaction Path [ i ] of the UTXO, adding the collection account record of each transaction to a set S [ i ], and tracking and calculating a Path Length of payment corresponding to the current collection account record as Length, wherein Length is the Path Length of Path [ i ], and each time i is increased by 1, length is increased by 1. (i.e., adding the transaction account that pays the UTXO for the subsequent Length to set S (S i is an element in set S, S is the name of set), where the path Length is the amount of money, all spent paths from account a).
The UTXO stores the payer and payee of each transaction, and tracking the UTXO is to track it: payer- > payee (which at the same time becomes the payer of the next transaction) - > payee. But this is not the same UTXO, each transaction would cost the old UTXO, yielding a new UTXO; in the example of me above, there are a total of 4 UTXOs, 3 new UTXOs, and one UTXO owned by the original payer. In tracking the transaction path, we only track the newly generated UTXOs.
Step 2.3, calculating S [ i ], i=1, 2,3, & gt, intersection of K, i.e. calculating ss=s [1] & gts [2] & gts [ K ].
Step 2.4, detecting the number of accounts in the SS, if the number of accounts is 0, adjusting the Length, and recalculating the steps 2.1 to 2.3 to obtain the SS, and judging according to the SS:
judging 1, as shown in fig. 1, if a double sector is found in the SS, namely 2 sectors corresponding to two nodes are found, and the two nodes are suspected to correspond to the same entity, the money laundering suspects.
Judging that if the account A exists in the 2 and the SS, indicating that a loop exists in the transaction process, and checking the account in the loop with emphasis. Possibly with internal mutual funds transfer.
In order to reduce the number of tracking accounts, the payment transaction path only tracks the set large payment amount during tracking, and does not track the change amount UTXO, namely the change address is not added to the set S.
The specific embodiments described herein are offered by way of example only to illustrate the spirit of the invention. Those skilled in the art may make various modifications or additions to the described embodiments or substitutions thereof without departing from the spirit of the invention or exceeding the scope of the invention as defined in the accompanying claims.
Claims (3)
1. A backwashed money analysis method for a blockchain account book is characterized by comprising the following steps of
Step 1, downloading current blockchain public account book data, and selecting an account from the current blockchain account book data;
step 2, calculating a payment transaction path according to the transaction times in the selected account, the amount of each transaction and the UTXO of the transaction, and calculating the repeatability of the final collection account of all paths, wherein if the paths form a double sector, the money laundering suspicion exists;
the step 2 specifically comprises the following steps:
step 2.1, calculating the transaction times paid by the account A, and recording the transaction times as K; recording the UTXOs paid for each transaction as UTXOs [1], UTXOs [2], UTXOs [3],.
Step 2.2, calculating a payment transaction Path Path [ i ] of the UTXO for the amount UTXO of each payment, namely UTXO [ i ], adding a collection S [ i ] of the collection account record of each transaction, and tracking and calculating the Path Length of the payment corresponding to the current collection account record as Length;
step 2.3, calculating S [ i ], i=1, 2,3, intersection of K, i.e. calculating ss=s [1] & n [ S [2] & n ] S [ K ];
step 2.4, detecting the number of accounts in the SS, if the number of accounts is 0, adjusting the Length, and recalculating the steps 2.1 to 2.3 to obtain the SS, and judging according to the SS:
judging that if a double sector is found in the 1 and the SS, namely 2 sectors corresponding to two nodes in and out appear in and out, and the two nodes are suspected to correspond to the same entity, the money laundering suspects;
judging 2, if an account A exists in the SS, indicating that a loop exists in the transaction process, and checking the account in the loop with emphasis; possibly with internal mutual funds transfer.
2. The method of claim 1, wherein in step 1, selecting an account to define as account a is performed by: and selecting an account A from the transaction accounts which are ranked n times before and accord with the set time period in the transaction amount in the current blockchain account data.
3. The method according to claim 1, wherein in order to reduce the number of tracking accounts, the payment transaction path in step 2 only tracks the set large payment amount, and the UTXO does not track the change amount, i.e. the change address is not added to the set S.
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