CN108629012B - Intelligent verification method and system for forensic data analysis accuracy - Google Patents
Intelligent verification method and system for forensic data analysis accuracy Download PDFInfo
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Abstract
The invention discloses an intelligent verification method for the analysis accuracy of forensic data, which realizes the intellectualization of verification technology by traversing and extracting all field information in an industrial standard and integrating the field information into a file according to a certain rule, thereby greatly saving the cost of human resources, improving the verification efficiency, effectively avoiding errors caused by subjective factors and visual fatigue due to manual intervention and improving the reliability of data. The invention also discloses an intelligent verification system for the analysis accuracy of the forensic data, and an intelligent verification method for the analysis accuracy of the forensic data can be realized.
Description
Technical Field
The invention relates to the technical field of information, in particular to an intelligent verification method and system for the analysis accuracy of forensic data.
Background
With the expansion of social mobility and personal circle of interpersonal activities, the amount of personal information owned by an individual is increased, the relevance between people is further improved, and the development of storage technology and computer network communication technology, data generated every day in a computer network is huge and complex, data generated by evidence obtaining also tends to be huge, and the data is from hundreds of thousands to billions of customs at present.
The rapid increase of data volume leads to the increasing difficulty of data comparison in the field of evidence obtaining analysis, and the diversification of evidence obtaining standards and evidence obtaining formats increases the difficulty of evidence obtaining data comparison, so that the original manual detection is basically difficult to complete. Furthermore, since the field of forensic analysis is a new field, there are no similar tools and methods available on the market. Therefore, the detection personnel related to evidence obtaining can only continuously and repeatedly perform head-burying comparison on data, the efficiency is low, visual fatigue is caused, errors are easy to occur, the period consumption is too long, and the requirement of rapid updating iteration of products and technologies in the field of evidence obtaining analysis is difficult to meet.
In current forensic analysis practice, the following three phenomena are found:
the evidence obtaining data packets generated in XML and BCP formats are displayed in a dispersed state in various evidence obtaining analysis platforms after data cleaning layer by layer, tables are not in one-to-one correspondence, partial field names and values are translated, and comparison difficulty is increased.
The amount of the evidence obtaining data is large, one evidence obtaining data packet usually has dozens of even hundreds of tables, and one system has dozens of even millions of evidence obtaining data packets, so that the data correctness of the evidence obtaining data packets in the processes of transmission, analysis and cleaning is obviously difficult to detect by adopting manual comparison.
And (III) evidence obtaining equipment butted with the evidence obtaining analysis platform has a diversified trend, the industry standards adopted by different manufacturers are inconsistent, and evidence obtaining data packets generated by different evidence obtaining equipment are different to a greater or lesser extent.
Disclosure of Invention
Aiming at the problems, the invention provides an intelligent verification method and system for the analysis accuracy of the evidence-obtaining data, which realizes the intelligentization of the verification technology, greatly saves the cost of human resources, improves the verification efficiency, can effectively avoid errors caused by subjective factors and visual fatigue due to manual intervention, and improves the reliability of the data.
In one aspect, an intelligent verification method for the analytic accuracy of forensic data is provided, which includes: establishing a mapping relation table of original data and HTML data in a database, and configuring the mapping relation of the original data and the warehousing data; acquiring all original data packets needing to be checked from a target evidence-obtaining analysis platform to establish a file set, traversing the file set to acquire the file name of a first data packet, and copying a corresponding file to a local directory according to the file name; finding an HTML data structure corresponding to the file page display data from the target evidence-obtaining analysis platform according to the file name, traversing the HTML data structure to obtain a list data set, and locally storing the list data set in a specific storage format; decompressing the original data packet to obtain all original data file sets, traversing the original data file sets, reading one by one through IO streams, and storing the original data file sets to the local according to formats corresponding to attributes and values; and translating and storing the original data file set in a specific storage format, acquiring a first original data file from the original data file set, finding out a corresponding HTML data file according to a configuration relation, respectively reading the original data file and the HTML data file into the list data set, finding out a set of mapping index relations of corresponding fields according to a configuration relation table, and performing identity comparison of data character strings according to the set of mapping index relations.
In some embodiments, the HTML structure data of the target forensics analysis platform is obtained, the HTML data structure is traversed and display data is searched layer by layer, a table for storing data is obtained using a general positioning condition, and all the display data is obtained by traversing the table for storing data and stored in pages.
In some specific embodiments, the original data file and the HTML data file are traversed, the HTML data file corresponding to the original data file is found according to the configuration relationship, the corresponding mapping field is found according to the mapping relationship between the original data and the interface data, the character strings are compared, and then the comparison result is stored in the list data set.
In some embodiments, if the comparison result shows different conditions, the failure information is saved to the list data set, and when the list data set of the original data file is traversed, the failure information is saved to the local file.
In some embodiments, the mapping relationship table includes at least one of the original table name, the table name presented by the interface after the original field mapping, the field, and whether conversion is required.
In another aspect, an intelligent verification system for forensic data analysis accuracy is provided, which includes a processor and a memory, wherein the memory stores an intelligent verification unit for forensic data analysis accuracy. This intelligent verification unit of data analysis accuracy of collecting evidence is used for: this intelligent verification unit of data analysis accuracy of collecting evidence is used for:
establishing a mapping relation table of original data and HTML data in a database, and configuring the mapping relation of the original data and the warehousing data;
acquiring all original data packets needing to be checked from a target evidence-obtaining analysis platform to establish a file set, traversing the file set to acquire the file name of a first data packet, and copying a corresponding file to a local directory according to the file name;
finding an HTML data structure corresponding to the file page display data from the target evidence-obtaining analysis platform according to the file name, traversing the HTML data structure to obtain a list data set, and locally storing the list data set in a specific storage format;
decompressing the original data packet to obtain a set of all original data files, traversing the set of the original data files, reading the original data files one by one through IO streams, and storing the original data files to the local according to formats corresponding to attributes and values; and
translating and storing the original data file set in a specific storage format, obtaining a first original data file from the original data file set, finding out a corresponding HTML data file according to a configuration relation, respectively reading the original data file and the HTML data file into the list data set, finding out a set of mapping index relations of corresponding fields according to a configuration relation table, and performing identity comparison of data character strings according to the set of mapping index relations.
The invention realizes the intellectualization of the verification technology by traversing and extracting all the field information in the industry standard and integrating the field information into the file according to a certain rule, thereby greatly saving the human resource cost, improving the verification efficiency, effectively avoiding errors caused by subjective factors and visual fatigue caused by manual intervention and improving the reliability of data.
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The accompanying drawings are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments and together with the description serve to explain the principles of the invention. Other embodiments and many of the intended advantages of embodiments will be readily appreciated as they become better understood by reference to the following detailed description. The elements of the drawings are not necessarily to scale relative to each other. Like reference numerals designate corresponding similar parts.
FIG. 1 is a flow diagram of a method for intelligent verification of forensic data resolution accuracy according to one embodiment of the present invention; and
FIG. 2 is a schematic diagram of an intelligent verification system for forensic data resolution accuracy according to one embodiment of the present invention.
Detailed Description
In the following detailed description, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. It is to be understood that other embodiments may be utilized and logical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims.
FIG. 1 shows a flow diagram of a method for intelligent verification of forensic data parsing accuracy in accordance with one embodiment of the present invention. In an embodiment, the mobile phone forensics analysis method is implemented by the intelligent verification system 100 for the accuracy of forensics data analysis shown in fig. 2. As shown in fig. 1, the mobile phone forensics method includes the following steps:
s10: and establishing a mapping relation table of the original data and the HTML data in a database, and configuring the mapping relation of the original data and the warehousing data.
In one embodiment, the mapping relationship table includes original table names, table names presented by the interface after the original field mapping, fields and/or whether conversion is needed.
S20: all original data packets needing to be checked are obtained from a target evidence obtaining analysis platform to establish a file set, the file set is traversed to obtain the file name of the first data packet, and the corresponding file is copied to a local directory according to the file name.
For example, the original data packets successfully binned are obtained from the target forensic analysis platform 200 (see fig. 2), the successfully parsed data packets are stored in a specific directory, the file set { z1, z2, …, zN } is obtained by reading the specific directory, the set is traversed to obtain the file name of the first data packet z1 (not shown) (in the same way, the file name of the nth data packet zN can be obtained), and the corresponding file is copied to the local directory according to the file name. Repeating the above steps can save all the original data packets to the local directory.
S30: finding the HTML data structure corresponding to the document page display data from the target forensics analysis platform according to the file name, traversing the HTML data structure to obtain a list data set, and locally storing the list data set in a specific storage format F (not shown).
For example, the display of the file on the HTML interface is found from the target forensics analysis platform according to the file name of the first data packet z1, the HTML data structure is traversed (through a Web automation framework), a list (list) data set is obtained according to the obtained data of each category, after one category is traversed, the traversed data is locally stored in a specific storage format F, and the file is named as htmlfile (not shown). After traversing the HTML data structure, the set of HTML files { htmlfile1, htmlfile2, …, htmlfile } can be obtained (of the whole HTML data).
In one embodiment, step S30 includes:
acquiring HTML structural data of the target evidence-taking analysis platform; and
and traversing the HTML data structure, searching the display data layer by layer, obtaining a table for storing the data by using a general positioning condition, and traversing the table for storing the data to obtain all the display data and storing the display data in pages.
In another embodiment, step S30 includes:
the HTML data displayed on an HTML interface of a target evidence-taking analysis platform is obtained (through a Web automatic test framework), and the configuration of a positioning element is put into a database or a file to realize the separation of positioning conditions (so as to improve the efficiency of script maintenance); and
traversing the HTML data structure and searching the display data layer by layer, obtaining a table for storing the data by using a general positioning condition, and traversing the table for storing the data to obtain all the display data and storing the display data in a specific storage format F.
S40: decompressing the original data packet to obtain a set S (not shown) of all original data files, traversing the set S, reading one by one through IO streams, and saving the set S to the local according to a format corresponding to the attribute and the value.
For example, decompressing the first original data packet z1, traversing the original data according to a specific data format (using dom4j API) to obtain data, obtaining a mapped name according to a configuration relationship, and saving in a specific file storage format F) according to the obtained name.
And when traversing the original data files, obtaining the converted files of the whole original data.
S50: the method comprises the steps of translating and storing an original data file set S in a specific storage format F (not shown), obtaining a first original data file Xfile1 (not shown) from the original data file set, finding a corresponding HTML data file htmlfile1 (not shown) according to a configuration relation, respectively reading the original data Xfile1 and the HTML data file htmlfile1 into the list data set, finding a set of mapping index relations of corresponding fields according to a configuration relation table, and performing identity comparison of data strings.
And (3) completing comparison of the whole original data file after traversing the set, and completing dynamic comparison of all data after traversing the list data set (obtained in step (2)).
In an embodiment, if the comparison result shows different conditions, the failure information is saved to the list data set, and when the list data set of the original data file is traversed, the failure information is saved to the local file.
Further, in an embodiment, step S50 includes: traversing the original data file and the HTML data file, finding the HTML data file corresponding to the original data file according to the configuration relationship, finding a corresponding mapping field (judging whether to execute conversion of enumeration values, processing of special characters and the like) according to the mapping relationship between the original data and the interface data, executing comparison of character strings, and then storing a comparison result into the list data set (after the comparison of the file is finished, outputting the comparison result, and after the traversal of the local file is finished, comparing the whole data).
FIG. 2 shows a schematic diagram of an intelligent verification system for forensic data resolution accuracy, according to one embodiment of the present invention. As shown in fig. 2, the intelligent verification system 100 for forensic data analysis accuracy includes an intelligent verification unit 110 for forensic data analysis accuracy and a communication unit 120. The intelligent verification system for the forensic data analysis accuracy communicates with the forensic analysis platform 200 via a data transmission medium such as a network and a data transmission interface (e.g., a universal serial bus).
The intelligent verification system 100 for forensic data resolution accuracy is a computing device (e.g., server, computer, and mobile intelligent terminal) including a processor and a memory. The processor is an integrated circuit chip, such as a microprocessor (CPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic device, for executing computer programs stored in the memory. The memory stores an intelligent verification unit 110 and a communication unit 120 for the accuracy of the forensic data analysis, wherein the intelligent verification unit 110 for the accuracy of the forensic data analysis includes a computer program for implementing the intelligent verification method for the accuracy of the forensic data analysis shown in fig. 1, and the communication unit 120 includes a computer program for implementing communication between the intelligent verification system 100 for the accuracy of the forensic data analysis and the forensic analysis platform 200.
The invention integrates all field information in industry standard into file (such as Excel file) according to certain rule by traversing and extracting. In addition, the same field names and corresponding values in the display modules of the industry standard and data packet and various forensics analysis platforms are extracted into the same file and are mapped one by one, so that whether the verification result is correct or not is clear at a glance. The invention realizes the intellectualization of the verification technology, greatly saves the cost of human resources, improves the verification efficiency, can effectively avoid errors caused by subjective factors and visual fatigue caused by manual intervention, and improves the reliability of data.
It will be apparent to those skilled in the art that various modifications and variations can be made to the embodiments of the present invention without departing from the spirit and scope of the invention. In this way, if these modifications and changes are within the scope of the claims of the present invention and their equivalents, the present invention is also intended to cover these modifications and changes. The word "comprising" does not exclude the presence of other elements or steps than those listed in a claim. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage. Any reference signs in the claims shall not be construed as limiting the scope.
Claims (10)
1. An intelligent verification method for the analysis accuracy of forensic data is characterized by comprising the following steps:
establishing a mapping relation table of original data and HTML data in a database, and configuring the mapping relation of the original data and the warehousing data;
acquiring all original data packets needing to be checked from a target evidence-obtaining analysis platform to establish a file set, traversing the file set to acquire the file name of a first data packet, and copying a corresponding file to a local directory according to the file name;
finding an HTML data structure corresponding to the file page display data from the target evidence-obtaining analysis platform according to the file name, traversing the HTML data structure to obtain a list data set, and locally storing the list data set in a specific storage format;
decompressing the original data packet to obtain a set of all original data files, traversing the set of the original data files, reading the original data files one by one through IO streams, and storing the original data files to the local according to formats corresponding to attributes and values; and
translating and storing the original data file set in a specific storage format, obtaining a first original data file from the original data file set, finding out a corresponding HTML data file according to a configuration relation, respectively reading the original data file and the HTML data file into the list data set, finding out a set of mapping index relations of corresponding fields according to a configuration relation table, and performing identity comparison of data character strings according to the set of mapping index relations.
2. The method of claim 1, wherein finding the HTML data structure corresponding to the document page presentation data from the target forensics analysis platform according to the file name, and traversing the HTML data structure to obtain the list data set and save the list data set locally in a specific storage format comprises:
acquiring HTML structural data of the target evidence-taking analysis platform; and
and traversing the HTML data structure, searching the display data layer by layer, obtaining a table for storing the data by using a general positioning condition, and traversing the table for storing the data to obtain all the display data and storing the display data in pages.
3. The method of claim 1, wherein the step of translating and storing the set of raw data files in a specific storage format, retrieving a first raw data file from the set of raw data files, finding a corresponding HTML data file according to a configuration relationship, reading the raw data file and the HTML data file into the tabular data set, finding a set of mapping index relationships of corresponding fields according to a configuration relationship table, and performing identity comparison of data strings according to the set of mapping index relationships comprises:
traversing the original data file and the HTML data file, finding the HTML data file corresponding to the original data file according to the configuration relation, finding the corresponding mapping field according to the mapping relation between the original data and the interface data, executing character string comparison, and then storing the comparison result into the list data set.
4. The method of claim 1, wherein the steps of translating and storing the set of raw data files in a specific storage format, retrieving a first raw data file from the set of raw data files, finding a corresponding HTML data file according to a configuration relationship, reading the raw data file and the HTML data file into the tabular data set, finding a set of mapping indexes of corresponding fields according to a configuration relationship table, and performing identity comparison of data strings according to the set of mapping indexes further comprise:
if the comparison result shows different conditions, the failure information is stored in the list data set, and when the list data set of the original data file is traversed, the failure information is stored in the local file.
5. The method of claim 1, wherein the mapping relationship table comprises at least one of original table names, table names presented by the interface after the original field mapping, fields, and whether conversion is required.
6. The utility model provides an intelligent verification system of data analysis accuracy of collecting evidence, includes treater and memory, and the intelligent verification unit of data analysis accuracy of collecting evidence is stored in this memory, and its characterized in that, the intelligent verification unit of data analysis accuracy of collecting evidence is used for:
establishing a mapping relation table of original data and HTML data in a database, and configuring the mapping relation of the original data and the warehousing data;
acquiring all original data packets needing to be checked from a target evidence-obtaining analysis platform to establish a file set, traversing the file set to acquire the file name of a first data packet, and copying a corresponding file to a local directory according to the file name;
finding an HTML data structure corresponding to the file page display data from the target evidence-obtaining analysis platform according to the file name, traversing the HTML data structure to obtain a list data set, and locally storing the list data set in a specific storage format;
decompressing the original data packet to obtain a set of all original data files, traversing the set of the original data files, reading the original data files one by one through IO streams, and storing the original data files to the local according to formats corresponding to attributes and values; and
translating and storing the original data file set in a specific storage format, obtaining a first original data file from the original data file set, finding out a corresponding HTML data file according to a configuration relation, respectively reading the original data file and the HTML data file into the list data set, finding out a set of mapping index relations of corresponding fields according to a configuration relation table, and performing identity comparison of data character strings according to the set of mapping index relations.
7. The system of claim 6, wherein finding the HTML data structure corresponding to the document page presentation data from the target forensics analysis platform according to the file name, and traversing the HTML data structure to obtain the list data set and store the list data set locally in a specific storage format comprises:
acquiring HTML structural data of the target evidence-taking analysis platform; and
and traversing the HTML data structure, searching the display data layer by layer, obtaining a table for storing the data by using a general positioning condition, and traversing the table for storing the data to obtain all the display data and storing the display data in pages.
8. The system of claim 6, wherein translating and storing the set of raw data files in a specific storage format, retrieving a first raw data file from the set of raw data files, finding a corresponding HTML data file according to a configuration relationship, reading the raw data file and the HTML data file into the list data set, respectively, finding a set of mapping indexes of corresponding fields according to a configuration relationship table and performing identity comparison of data strings according to the set of mapping indexes comprises:
traversing the original data file and the HTML data file, finding the HTML data file corresponding to the original data file according to the configuration relation, finding the corresponding mapping field according to the mapping relation between the original data and the interface data, executing character string comparison, and then storing the comparison result into the list data set.
9. The system of claim 6, wherein translating and storing the set of raw data files in a specific storage format, retrieving a first raw data file from the set of raw data files, finding a corresponding HTML data file according to a configuration relationship, reading the raw data file and the HTML data file into the list data set, respectively, finding a set of mapping indexes of corresponding fields according to a configuration relationship table and performing identity comparison of data strings according to the set of mapping indexes further comprises:
if the comparison result shows different conditions, the failure information is stored in the list data set, and when the list data set of the original data file is traversed, the failure information is stored in the local file.
10. The system of claim 6, wherein the mapping relationship table comprises at least one of original table names, table names presented by the interface after mapping the original fields, and whether conversion is required.
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