CN111709737A - Bit currency transaction information determination method and device, storage medium and electronic equipment - Google Patents
Bit currency transaction information determination method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The bit currency transaction information determining method, the device, the storage medium and the electronic equipment obtain bit currency transaction trace information, wherein the bit currency transaction trace information comprises target user information; determining an associated book record corresponding to the bit currency transaction trace information from a bit currency book; and determining the transaction user information corresponding to the associated book record according to the target user information. According to the technical scheme, the transaction user information corresponding to the associated book records can be determined, and then the transaction user information corresponding to the anonymous address in the bit currency book is accurately inferred, so that convenience is brought to the use of the bit currency.
Description
Technical Field
The application relates to the field of online payment, in particular to a bit currency transaction information determination method, a bit currency transaction information determination device, a storage medium and electronic equipment.
Background
The bitcoin is electronic cash on the internet, a virtual currency that does not require a third party credit endorsement. The bitcoin transaction has stronger anonymity, and mainly embodies the following aspects: 1) an anonymous transaction address (account number), wherein the bitcoin address is an account number used when a user participates in bitcoin transaction, the address is independently created and generated by the user, is irrelevant to the identity information of the user, and is created and used without participation of a third party; 2) scattered transaction behaviors, the bitcoin system supports users to generate different addresses (account numbers) for each transaction, and user transaction information can be scattered in different anonymous addresses at will; 3) the hidden transaction information source, the bit currency communication network adopts the point-to-point protocol networking, there is no central node, the whole network broadcasting of the transaction information, it is difficult to track the transaction information originating source through monitoring a single server.
Because the bit coins have strong anonymity, the information of the transaction user is difficult to find, and inconvenience is brought to the use of the bit coins.
Disclosure of Invention
In order to solve the above problem, embodiments of the present application provide a method, an apparatus and an electronic device for determining bitcoin transaction information.
In a first aspect, an embodiment of the present application provides a method for determining bitcoin transaction information, including the following steps:
acquiring bit currency transaction trace information, wherein the bit currency transaction trace information comprises target user information;
determining an associated book record corresponding to the bit currency transaction trace information from a bit currency book;
and determining the transaction user information corresponding to the associated book record according to the target user information.
Optionally, the bitcoin transaction trace information includes: bit currency amount and occurrence time;
the determining of the associated book record corresponding to the bit currency transaction trace information from the bit currency book comprises the following steps:
and selecting the associated book record corresponding to the transaction trace information of the bitcoin from the bitcoin book according to the bitcoin amount and the occurrence time.
Optionally, the selecting the associated book record corresponding to the bitcoin transaction trace information from the bitcoin book according to the bitcoin amount and the occurrence time includes:
determining a start time and an end time according to the occurrence time;
screening out transaction records with the transaction time between the starting time and the ending time from the bit currency account book;
and selecting the associated book record from the transaction record according to the bitcoin amount.
Optionally, selecting the associated ledger record from the transaction record according to the bitcoin amount includes:
and selecting the associated ledger record from the transaction records, wherein the transaction amount of the associated ledger record is equal to the bitcoin amount.
Optionally, the selecting the associated ledger record from the transaction record according to the bitcoin amount includes:
selecting a plurality of transaction records with transaction amount equal to the bit monetary amount from the transaction records, and confirming a plurality of transaction addresses corresponding to the transaction records;
calculating a plurality of probability results of the target user corresponding to the transaction users corresponding to the plurality of transaction addresses according to the plurality of bit currency transaction trace information;
and determining the associated book record according to the plurality of probability results.
Optionally, the method further comprises:
if the transaction price in the bit currency transaction trace information is legal currency, determining the conversion ratio of the bit currency and the legal currency;
and calculating the bitcoin amount according to the exchange ratio and the transaction price.
In a second aspect, an embodiment of the present application provides a bitcoin transaction information determining apparatus, including:
the information acquisition unit is used for acquiring bitcoin transaction trace information which comprises target user information;
the record determining unit is used for determining an associated book record corresponding to the bit currency transaction trace information from a bit currency book;
and the information acquisition unit is used for determining the transaction user information corresponding to the associated book record according to the target user information.
Optionally, the bitcoin transaction trace information includes: bit currency amount and occurrence time;
the record determining unit is specifically configured to: and selecting the associated book record corresponding to the transaction trace information of the bitcoin from the bitcoin book according to the bitcoin amount and the occurrence time.
In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of any one of the above methods.
In a fourth aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of any one of the above methods when executing the program.
The bit currency transaction information determining method, the device, the storage medium and the electronic equipment obtain bit currency transaction trace information, wherein the bit currency transaction trace information comprises target user information; determining an associated book record corresponding to the bit currency transaction trace information from a bit currency book; and determining the transaction user information corresponding to the associated book record according to the target user information. According to the technical scheme, the transaction user information corresponding to the associated book records can be determined, and then the transaction user information corresponding to the anonymous address in the bit currency book is accurately inferred, so that convenience is brought to the use of the bit currency.
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Fig. 1 is a schematic flowchart of a bitcoin transaction information determination method according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of another bit currency transaction information determination method provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of a bitcoin transaction information determination apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is further described with reference to the following figures and examples.
In the following description, the terms "first" and "second" are used for descriptive purposes only and are not intended to indicate or imply relative importance. The following description provides embodiments of the present application, where different embodiments may be substituted or combined, and thus the present application is intended to include all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then this application should also be considered to include an embodiment that includes one or more of all other possible combinations of A, B, C, D, even though this embodiment may not be explicitly recited in text below.
The following description provides examples, and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the described methods may be performed in an order different than the order described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
The inventors found in long-term studies that: the bitcoin anti-anonymization method may include the following two types of methods. One kind of method is network layer anti-anonymity method, which mainly detects and collects transaction information broadcasted by bit currency network layer, analyzes the propagation path of specific bit currency transaction in network, and conjectures the IP address of the starting server of the transaction, thereby realizing anti-anonymity of the transaction. The other method is a transaction layer anti-anonymity method, and mainly comprises the step of deducing the transaction rule of an anonymous address by analyzing the transaction relation among different transaction addresses.
Because the bit coin communication network adopts the point-to-point protocol to network, the user can access and use through any server node in the bit coin network, which causes the existing network layer anti-anonymity technology to have lower accuracy; meanwhile, the existing network layer anti-anonymization method usually needs a large amount of storage resources to cache the transaction information broadcasted in the whole network and needs a large amount of computing resources to analyze the transaction propagation path in the network.
Due to anonymity and random generation of the bitcoin transaction address, the existing transaction layer anti-anonymity method can only obtain the association relation between different transaction addresses generally, and cannot realize the anti-anonymity of the transaction (transaction address), namely the association between the transaction (transaction address) and the real transaction background information.
In some specific cases, it is necessary to check the transaction user information in the bitcoin transaction. For example, some bitcoin transactions involve illegal activities such as financial fraud, and the subject matter of some bitcoin transactions needs to be strictly monitored. Some departments of finance and network security supervision and the like need to check the transaction user information of the bit currency transaction so as to better protect the finance and network security. However, the anonymity of the bitcoin transaction address brings inconvenience to the above-mentioned checking work.
Referring to fig. 1, fig. 1 is a schematic flow chart of a bitcoin transaction information method provided in an embodiment of the present application, where the method includes:
s101, obtaining bit currency transaction trace information, wherein the bit currency transaction trace information comprises target user information.
The bit currency transaction trace information is related bit currency transaction information which can be obtained from a network or other legal channels. For example, an auction deal record on some auction websites and the deal record is paid in bitcoins. The bit currency transaction trace information disclosed on the network can be acquired through various modes such as network crawlers and manual recording.
The bitcoin transaction trace information may include information related to bitcoin transactions, such as: time of occurrence, amount of bitcoin, number of transactions, target subscriber information, etc. The target user is a user capable of detecting user information. The target user may be either a seller or a purchaser. The target user information is related information of the target user. The target user information may include: user identification, user name, user address, user reputation value, and the like.
For example, a website announcement includes a record of a deal, which is that merchant a sells a mechanical male watch to user B in 3 bitcoins at a price of 3 bitcoins at 1 month, 7 months, 15 hours, 3 minutes and 51 seconds in 2020. The occurrence time is 3 minutes and 51 seconds at 1 month, 7 days and 15 days of 2020, the bit money amount is 3, and the transaction number is 1. If the merchant A and the user B are legal registered users of the website, the user information of the merchant A and the user B can be obtained through the website, and the user information of the merchant A and the user B is stored in the system of the embodiment of the application. In the technical scheme of the embodiment of the application, the merchant a can be set as the target user, and the user B can also be set as the target user.
S102, determining a related account book record corresponding to the bit currency transaction trace information from the bit currency account book.
In the whole bitcoin network, there are some nodes called full nodes, and these full nodes hold all transaction records generated by the bitcoin system, and these transaction records constitute the bitcoin ledger. And the associated book record corresponding to the bit currency transaction trace information can be found from the bit currency book. For example, if the occurrence time in the bit currency transaction trace information is 3 minutes, 51 seconds and 39 at 1 month, 7 months and 15 days of 2020 and the transaction time in only one transaction record in the bit currency account book corresponds to the transaction time in the bit currency transaction trace information, it is determined that the transaction record is the related account book record.
The inventor researches and discovers the following two points:
the first and second bitcoin transaction amount has strong correlation with time. The transaction amount of the bit currency can be accurate to 8 digits after a decimal point, the price of the bit currency is unstable, the fluctuation range is large, the transaction time of the articles with the same value is slightly different, and the corresponding transaction prices of the bit currency are different.
Second, the transaction amount of the bitcoin is usually within a certain range within a certain time period. Generally, the transaction amount of bitcoin per second is about 7 strokes, and the transaction amount of 10 minutes is about 4200 strokes.
The above two points ensure that the step S102 can be completed in a short time, and the associated book records can be matched more accurately.
Optionally, the bitcoin transaction trace information includes: bit currency amount and occurrence time;
step S102 may include:
and selecting the associated book record corresponding to the transaction trace information of the bitcoin from the bitcoin book according to the bitcoin amount and the occurrence time.
The account book records matched with the bit currency amount and the occurrence time can be selected from the bit currency account book as the associated account book records. For example, if the occurrence time in the bit currency transaction trace information is 3 minutes 51 seconds at 1 month, 7 months and 15 days of 2020 and the bit currency amount is 3, a book record with the transaction time of 3 minutes 51 seconds at 1 month, 7 months and 15 days of 2020 and the transaction amount of 3 can be searched in the bit currency book, and if only one book record is searched, the book record is used as the associated book record.
S103, determining transaction user information corresponding to the associated book record according to the target user information.
In the case where the target user in the associated book record is a seller, the transaction output address in the associated book record may be associated with the address of the target user in the bitcoin transaction trace information. In the case where the target user in the associated book record is a purchaser, the transaction input address in the associated book record may be associated with the address of the target user in the bitcoin transaction trace information.
According to the technical scheme, the transaction user information corresponding to the associated book records can be determined, and then the transaction user information corresponding to the anonymous address in the bitcoin book can be accurately inferred. Therefore, the method of the embodiment of the application can solve the technical problem that in the prior art, the anonymity of the bit currency transaction address brings inconvenience to checking work.
Optionally, the method further comprises:
if the transaction price in the bit currency transaction trace information is legal currency, determining the conversion ratio of the bit currency and the legal currency;
and calculating the bitcoin amount according to the exchange ratio and the transaction price.
In the existing transaction system, the transaction price is often marked only by legal currency, a mode of accepting bitcoin payment is appointed, and the transaction is completed by the bitcoin. In this case, the legal currency is converted into the amount of the bitcoin according to the conversion ratio of the bitcoin to the legal currency, and then the user information corresponding to the transaction address of the bitcoin is determined by the method of the embodiment of the present application.
Referring to fig. 2, fig. 2 is a schematic flowchart of a method for processing bitcoin transaction information according to an embodiment of the present application, where the method includes:
s201, obtaining bit currency transaction trace information, wherein the bit currency transaction trace information comprises target user information, bit currency amount and occurrence time.
And S202, determining the starting time and the ending time according to the occurrence time.
The start time and the end time can be determined according to specific requirements through the occurrence time in the bitcoin transaction trace information. For example, when the occurrence time is 1/5/2020, the start time may be 1/4/2020, the end time may be 1/6/2020, the start time may be 1/4/2020 for 30 minutes, and the end time may be 1/7/2020.
S203, screening out transaction records with the transaction time between the starting time and the ending time from the bitcoin account book.
The transaction records screened out that the transaction time is between the starting time and the ending time are all possibly associated records corresponding to the transaction trace information of the bitcoin.
S204, selecting the associated account book record from the transaction record according to the bitcoin limit.
The transaction record generated in the step S203 is a transaction record matched with the transaction time, and then the associated book record corresponding to the bit currency transaction trace information can be determined more accurately according to the bit currency amount in the bit currency transaction trace information.
Optionally, S204 includes:
and selecting the associated ledger record from the transaction records, wherein the transaction amount of the associated ledger record is equal to the bitcoin amount.
If the transaction amount of only one transaction record in the transaction records generated in step S203 is equal to the bitcoin amount, the associated ledger record is the associated ledger record.
For example, the occurrence time of the transaction trace information of the bitcoin is 3 minutes 51 seconds at 1 month, 7 days and 15 days of 2020, and the bitcoin amount is 3. In step S202, the determination start time is set to 1/7/2020/15, and the end time is set to 1/7/2020/15/5/min. From the bitcoin ledger, a transaction record is extracted, the transaction time of which is between 1, 7 and 15 of 2020 and 5 minutes of 1, 7 and 15 of 2020. And screening and finding that only one transaction record has a transaction amount of 3 in the transaction records, and taking the transaction record with the transaction amount of 3 as an associated book record.
Optionally, S204 includes:
selecting a plurality of transaction records with transaction amount equal to the bit monetary amount from the transaction records, and confirming a plurality of transaction addresses corresponding to the transaction records;
calculating a plurality of probability results of the target user corresponding to the transaction users corresponding to the plurality of transaction addresses according to the plurality of bit currency transaction trace information;
and determining the associated book record according to the plurality of probability results.
If the transaction amount of a plurality of transaction records in the transaction record generated in step S203 is equal to the bitcoin amount, and the transaction records correspond to a plurality of candidate transaction addresses, each candidate transaction address may be the transaction address of the target user. Acquiring a plurality of pieces of bitcoin transaction trace information, wherein the plurality of pieces of bitcoin transaction trace information all comprise the target user information. And calculating a plurality of probability results that the transaction users corresponding to the candidate transaction addresses are target users according to the plurality of bit currency transaction trace information, and selecting the transaction address with the maximum probability result as the transaction address of the target user.
For example, the occurrence time of the transaction trace information of the bitcoin is 3 minutes 51 seconds at 1 month, 7 days and 15 days of 2020, and the bitcoin amount is 3. In step S202, the determination start time is set to 1/7/2020/15, and the end time is set to 1/7/2020/15/5/min. From the bitcoin ledger, a transaction record is extracted, the transaction time of which is between 1, 7 and 15 of 2020 and 5 minutes of 1, 7 and 15 of 2020. Screening finds that the transaction amount of three transaction records in the transaction records is 3, and transaction users corresponding to the transaction addresses (address 1, address 2 and address 3) of the three transaction records are all possible target users. Address 1, address 2, address 3 are taken as candidate transaction addresses.
And acquiring other bit currency transaction trace information, wherein the other bit currency transaction trace information corresponds to the target user information. And calculating a plurality of probability results of the target user which is the trading user corresponding to the candidate trading addresses according to the other bit currency trading trace information. How to calculate a plurality of probability results of the transaction user corresponding to the candidate transaction addresses being the target user is described below by two examples.
Example one, the other bit currency transaction trace information is acquired, wherein the occurrence time is 1 month, 7 days, 13 hours, 5 minutes and 51 seconds in 2020, and the bit currency amount is 0.2. In step S202, the determination start time is set to 1/7/2020, 13/2 min, and the end time is set to 1/7/2020, 13/7 min, 7 min. From the bitcoin ledger, a transaction record is extracted, the transaction time of which is between 2 points at 13 hours 1, 7 months and 2020 and 7 points at 13 hours 1, 7 months and 2020. Screening finds that the transaction amount of two transaction records in the transaction records is 0.2, and the transaction addresses of the two transaction records are address 2 and address 4 respectively. Since address 1, address 2, address 3 and address 4 are all possible addresses corresponding to the target user, and the probability of address 2 occurring is 2 times that of other addresses, the probability result for address 2 is 2/5, and the probability result for other addresses is 1/5. And according to the probability result, selecting the transaction record corresponding to the address 2 as the associated book record.
Example two other pieces of bitcoin transaction trace information are obtained, the first piece of bitcoin transaction trace information is 5 minutes 51 seconds when the occurrence time is 1 month, 7 days and 13 days of 2020, and the bitcoin amount is 0.2. In step S202, the determination start time is set to 1/7/2020, 13/2 min, and the end time is set to 1/7/2020, 13/7 min, 7 min. From the bitcoin ledger, a transaction record is extracted, the transaction time of which is between 2 points at 13 hours 1, 7 months and 2020 and 7 points at 13 hours 1, 7 months and 2020. Screening finds that the transaction amount of two transaction records in the transaction records is 0.2, and the transaction addresses of the two transaction records are address 2 and address 4 respectively.
The second bit currency transaction trace information is 30 minutes at the time of 1 month, 7 days and 15 days of 2020, and the bit currency amount is 3.56. In step S202, the determination start time is 20 minutes at 15 hours of 1, 7 and 2020 and the end time is 32 minutes at 15 hours of 1, 7 and 2020. From the bitcoin ledger, a transaction record is extracted, the transaction time of which is between 20 points at 15 hours 1 month 7 th 2020 and 32 points at 15 hours 1 month 7 th 2020. Screening finds that the transaction amount of two transaction records in the transaction records is 3.56, and the transaction addresses of the two transaction records are address 2 and address 3 respectively.
Since the address 1, the address 2, the address 3 and the address 4 are all possible addresses corresponding to the target user, and in the candidate transaction addresses, the address 2 appears 3 times, the address 3 appears 2 times, and the rest of the addresses appear 1 time, the probability result of the address 2 is 3/7, the probability result of the address 3 is 2/7, and the probability results of the other addresses are 1/7. And according to the probability result, selecting the transaction record corresponding to the address 2 as the associated book record.
S205, determining the transaction user information corresponding to the associated book record according to the target user information.
The method of the embodiment of the application provides that the corresponding associated book record in the bit currency book is matched according to the bit currency amount and the occurrence time contained in the bit currency transaction trace information. And respectively discuss how to match the associated book records under the following two conditions, including: the transaction amount of only one transaction record in the transaction record is equal to the bit money amount, and the transaction amounts of a plurality of transaction records in the transaction record are equal to the bit money amount. By the method, the corresponding associated account book record can be matched more accurately in a shorter time.
In order to make the technical scheme of the embodiment of the application easier to understand. A specific method for determining bitcoin transaction information is described below. The data field related to the technical scheme in the bit currency transaction data structure mainly comprises a transaction input address, a transaction input limit, a transaction output address and a transaction output limit; generally, a plurality of input addresses of a transaction belong to the same user, and a plurality of different output addresses of the transaction can correspond to a plurality of different users, that is, a transaction initiator can transfer and output to a plurality of counterparties through the transaction. The transaction input address and the transaction output address are character strings which are disclosed all over the network and do not contain any real information. The time interval from the initiation of the transaction to the successful confirmation of the transaction is generally considered to be 1 hour.
The technical scheme provided by the embodiment of the application mainly solves the problem that anti-anonymity of the bit currency address cannot be realized by only utilizing the bit currency book data to perform transaction analysis, and has the advantages of high accuracy and low resource consumption compared with the existing network layer anti-anonymity method.
The technical scheme provided by the embodiment of the application comprises two steps, wherein the first step is used for extracting the timing sequence transaction amount for anti-anonymity and transaction real background information, and the second step is used for associating the timing sequence transaction amount data with the bit currency book data and analyzing and positioning the real background information corresponding to the anonymous bit currency transaction.
Step one, formatting the transaction trace information of the bitcoin, extracting the trace information of a lot of bitcoin transactions in the transaction amount data (time sequence transaction amount) network space containing time information, such as 70 dollars (or equivalent bitcoins, such as 0.0123456 bitcoins) of a certain article sale price announced by a user on the network. And collecting network trace information of the transaction by using the bit currency through a network crawler, formatting, and extracting the bit currency amount, the transaction time and the transaction background information. Some bit currency transaction trace information may only include transaction start time, but does not include specific time of each transaction, and start time, transaction amount, transaction number and transaction background information in the transaction trace information can be extracted. The transaction background information is real information for realizing de-anonymization of the bit currency transaction (address), and the time sequence transaction amount is a bridge for connecting the bit currency account book anonymous transaction and the real transaction background information.
Step two, associating time sequence transaction amount data with bit currency book data, analyzing and positioning the bit currency book transaction data corresponding to the time sequence transaction amount data, wherein the bit currency book transaction data is 8 bits after a decimal point due to the fact that the bit currency transaction amount can be accurate, the bit currency price is unstable, the fluctuation range is large, articles with the same value have slightly different transaction time, and the corresponding bit currency transaction prices are different; meanwhile, the transaction amount of the bitcoin per second is about 7, and the transaction amount of the bitcoin per second is about 4200 in 10 minutes; therefore, the bit currency account book transaction data corresponding to the time sequence transaction amount can be analyzed and positioned by correlating the matching condition of the bit currency account book transaction data of the time sequence transaction amount in a specific time range. The analysis positioning algorithm is divided into two types: the method comprises the steps of analyzing and positioning single time sequence transaction amount, and analyzing and positioning a plurality of time sequence transaction amounts.
Single time series transaction amount analysis positioning algorithm: for example, the user A has a sale transaction of an article with the amount of 0.12345678 bitcoins, and the time is about 1 month, 1 day and 10 points in 2019; by utilizing a time sequence transaction limit (10: 00/0.12345678 on 1/2019), inquiring the transaction data of the bit currency account book in the time range of 8:00 on 1/2019, if only one transaction (the transaction output address is B and the transaction output amount is 0.12345678) just accords with the transaction amount, considering that the transaction and the transaction address B on the bit currency account book are the transactions described by the network space transaction trace data, the anti-anonymity of the transaction and the output address B on the bit currency account book can be realized, and judging that the transaction output address B belongs to the user A.
A plurality of time-series transaction amount analysis positioning algorithms: the single time sequence transaction amount of the user A may correspond to a plurality of transactions on a bitcoin book, and in order to improve the accuracy of anti-anonymity, the data of the plurality of time sequence transaction amounts of the user A are required to be accumulated, analyzed and positioned. Suppose the public information indicates that user a has i time series transaction amounts (revenue transactions), each time series transaction amount corresponds to j bitcoin ledger transactions (the probability that each bitcoin ledger transaction may be user a transaction is 1/j), and there are k transaction output addresses in each bitcoin ledger transaction that correspond to the time series transaction amounts (the probability that the transaction output address may be user a transaction address is 1/(k x j)). Because the output addresses of different bit currency account book transactions are possibly repeated, probability accumulation is carried out on the matching condition of each bit currency transaction output address and the bit currency account book transaction output address related to i time sequence transaction amounts: Σ 1/(j × k), where the bitcoin transaction output address with the highest probability value is considered to be the most likely bitcoin transaction address for user a.
In reality, only the first bitcoin transaction time and transaction amount of the user and the transaction number of the transaction due to a certain time can be known. The analysis and positioning algorithm in this case is similar to the multiple time series transaction amount analysis and positioning algorithm, except that the time range of the matched bit currency ledger transaction data is larger. Also, the transaction prices disclosed in reality may be priced in legal currency, e.g., $ 200, while accepting an equivalent bitcoin, which may need to be translated based on the exchange ratio of the bitcoin to legal currency published by the transaction.
The method of the embodiment of the application provides that time sequence transaction amount data with real information is utilized to correlate anonymous bit currency book transaction data in a specific time range, and analysis positioning and anti-anonymity of anonymous bit currency transactions and transaction addresses thereof are achieved. Meanwhile, based on the technical scheme, a bit currency anti-anonymity system based on the time sequence transaction amount is constructed.
The technical scheme of the embodiment of the application is a simple and efficient bit currency anti-anonymization method, and the anonymity bit currency book transaction (transaction address) information corresponding to the bit currency transaction trace information can be analyzed and positioned with higher accuracy and lower resource consumption.
Fig. 1 and 2 above illustrate the bit currency transaction information determination method according to the embodiment of the present application in detail. Referring to fig. 3, fig. 3 is a schematic structural diagram of a bitcoin transaction information determining apparatus according to an embodiment of the present application, and as shown in fig. 3, the bitcoin transaction information determining apparatus includes:
an information obtaining unit 301, configured to obtain bitcoin transaction trace information, where the bitcoin transaction trace information includes target user information;
a record determining unit 302, configured to determine, from a bitcoin ledger, an associated ledger record corresponding to the bitcoin transaction trace information;
an information obtaining unit 303, configured to determine, according to the target user information, transaction user information corresponding to the associated ledger record.
Optionally, the bitcoin transaction trace information includes: bit currency amount and occurrence time;
the record determining unit 303 is specifically configured to: and selecting the associated book record corresponding to the transaction trace information of the bitcoin from the bitcoin book according to the bitcoin amount and the occurrence time.
Optionally, the record determining unit 303 is specifically configured to:
determining a start time and an end time according to the occurrence time;
screening out transaction records with the transaction time between the starting time and the ending time from the bit currency account book;
and selecting the associated book record from the transaction record according to the bitcoin amount.
Optionally, the record determining unit 303 is specifically configured to: :
and selecting the associated ledger record from the transaction records, wherein the transaction amount of the associated ledger record is equal to the bitcoin amount.
Optionally, the record determining unit 303 is specifically configured to: :
selecting a plurality of transaction records with transaction amount equal to the bit monetary amount from the transaction records, and confirming a plurality of transaction addresses corresponding to the transaction records;
calculating a plurality of probability results of the target user corresponding to the transaction users corresponding to the plurality of transaction addresses according to the plurality of bit currency transaction trace information;
and determining the associated book record according to the plurality of probability results.
Optionally, the apparatus further comprises:
the amount calculation unit 304: if the transaction price in the bit currency transaction trace information is legal currency, determining the conversion ratio of the bit currency and the legal currency;
and calculating the bitcoin amount according to the exchange ratio and the transaction price.
It is clear to a person skilled in the art that the solution according to the embodiments of the present application can be implemented by means of software and/or hardware. The "unit" and "module" in this specification refer to software and/or hardware that can perform a specific function independently or in cooperation with other components, where the hardware may be, for example, an FPGA (Field-Programmable Gate Array), an IC (Integrated Circuit), or the like.
Each processing unit and/or module in the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.
Embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above bitcoin transaction information determination method. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
Referring to fig. 4, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, where the electronic device may be used to implement the bit currency transaction information determining method in the foregoing embodiment. Specifically, the method comprises the following steps:
the memory 420 may be used to store software programs and modules, and the processor 490 may execute various functional applications and data processing by operating the software programs and modules stored in the memory 420. The memory 420 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the terminal device, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, memory 420 may also include a memory controller to provide processor 490 and input unit 430 access to memory 420.
The input unit 430 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, the input unit 430 may include a touch-sensitive surface 431 (e.g., a touch screen, a touch pad, or a touch frame). The touch-sensitive surface 431, also referred to as a touch display screen or a touch pad, may collect touch operations by a user on or near the touch-sensitive surface 431 (e.g., operations by a user on or near the touch-sensitive surface 431 using any suitable object or attachment such as a finger, a stylus, etc.) and drive the corresponding connection device according to a predetermined program. Alternatively, the touch sensitive surface 431 may comprise both a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 490, and can receive and execute commands sent by the processor 490. In addition, the touch-sensitive surface 431 may be implemented in various types, such as resistive, capacitive, infrared, and surface acoustic wave.
The display unit 440 may be used to display information input by or provided to a user and various graphic user interfaces of the terminal device, which may be configured by graphics, text, icons, video, and any combination thereof. The Display unit 440 may include a Display panel 441, and optionally, the Display panel 441 may be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), or the like. Further, the touch-sensitive surface 431 may overlay the display panel 441, and when a touch operation is detected on or near the touch-sensitive surface 431, the touch operation is transmitted to the processor 490 to determine the type of the touch event, and then the processor 490 provides a corresponding visual output on the display panel 441 according to the type of the touch event. Although in FIG. 4 the touch sensitive surface 431 and the display panel 441 are two separate components to implement input and output functions, in some embodiments the touch sensitive surface 431 and the display panel 441 may be integrated to implement input and output functions.
The processor 490 is a control center of the terminal device, connects various parts of the entire terminal device using various interfaces and lines, and performs various functions of the terminal device and processes data by running or executing software programs and/or modules stored in the memory 420 and calling data stored in the memory 420, thereby performing overall monitoring of the terminal device. Optionally, processor 490 may include one or more processing cores; processor 490 may integrate, among other things, an application processor, which handles primarily the operating system, user interface, and applications, etc., and a modem processor, which handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 490.
Specifically, in this embodiment, the display unit of the terminal device is a touch screen display, the terminal device further includes a memory, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for implementing the bitcoin transaction information determination method.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
All functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A bitcoin transaction information determination method, characterized in that the method comprises:
acquiring bit currency transaction trace information, wherein the bit currency transaction trace information comprises target user information;
determining an associated book record corresponding to the bit currency transaction trace information from a bit currency book;
and determining the transaction user information corresponding to the associated book record according to the target user information.
2. The method of claim 1, wherein the bitcoin transaction trace information comprises: bit currency amount and occurrence time;
the determining of the associated book record corresponding to the bit currency transaction trace information from the bit currency book comprises the following steps:
and selecting the associated book record corresponding to the transaction trace information of the bitcoin from the bitcoin book according to the bitcoin amount and the occurrence time.
3. The method of claim 2, wherein the selecting the associated book record corresponding to the bitcoin transaction trace information from the bitcoin book according to the bitcoin amount and the occurrence time comprises:
determining a start time and an end time according to the occurrence time;
screening out transaction records with the transaction time between the starting time and the ending time from the bit currency account book;
and selecting the associated book record from the transaction record according to the bitcoin amount.
4. The method of claim 3, wherein selecting the associated ledger record from the transaction record as a function of the bitcoin amount comprises:
and selecting the associated ledger record from the transaction records, wherein the transaction amount of the associated ledger record is equal to the bitcoin amount.
5. The method of claim 3, wherein said selecting the associated ledger record from the transaction record based on the bitcoin amount comprises:
selecting a plurality of transaction records with transaction amount equal to the bit monetary amount from the transaction records, and confirming a plurality of transaction addresses corresponding to the transaction records;
calculating a plurality of probability results of the target user corresponding to the transaction users corresponding to the plurality of transaction addresses according to the plurality of bit currency transaction trace information;
and determining the associated book record according to the plurality of probability results.
6. The method according to any one of claims 2 to 5, further comprising:
if the transaction price in the bit currency transaction trace information is legal currency, determining the conversion ratio of the bit currency and the legal currency;
and calculating the bitcoin amount according to the exchange ratio and the transaction price.
7. A bitcoin transaction information determining apparatus, characterized in that the apparatus comprises:
the information acquisition unit is used for acquiring bitcoin transaction trace information which comprises target user information;
the record determining unit is used for determining an associated book record corresponding to the bit currency transaction trace information from a bit currency book;
and the information acquisition unit is used for determining the transaction user information corresponding to the associated book record according to the target user information.
8. The apparatus of claim 7, wherein the bitcoin transaction trace information comprises: bit currency amount and occurrence time;
the record determining unit is specifically configured to: and selecting the associated book record corresponding to the transaction trace information of the bitcoin from the bitcoin book according to the bitcoin amount and the occurrence time.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1-6 are implemented when the program is executed by the processor.
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| CN202010414739.2A CN111709737A (en) | 2020-05-15 | 2020-05-15 | Bit currency transaction information determination method and device, storage medium and electronic equipment |
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