CN109558488A - Based on data to the multi dimensional analysis method of criminal offence - Google Patents
Based on data to the multi dimensional analysis method of criminal offence Download PDFInfo
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Abstract
Based on data to the multi dimensional analysis method of criminal offence, using following steps, S1: data acquisition module extracts all data on mobile phone memory card, is saved in database；S2: being provided with regular expression, and data screening module extracts the information for meeting regular expression in information data table according to regular expression, which corresponds to log and account information；S3: data screening module is traversed by the data in crucial word pair database, the corresponding context data of keyword is extracted in evidence library, the similarity analysis module of setting can establish user-association degree map for communications records member relation, effectively show the distance of interactive member relation.
Description
Technical field
The present invention relates to data analysis fields, and in particular to based on data to the multi dimensional analysis method of criminal offence.
Background technique
With the development of network and mobile device, user more and more carries out online by mobile device and data are handed over
Mutually, a large amount of data are stored in mobile phone, various behavioral data weave ins, in current Mobile Phone Forensics,
Data mode is analyzed using traditional approach, major function is the initial data enumerated in displaying mobile phone, including but unlimited
In all multi informations of address list, short message, call, instant messaging, mail, browsing record etc., without further mining analysis.Work
It needs as personnel through one of own side's number to have owner one overall understanding it is investigated that seeing.
It on the one hand is that data volume is huge, light is that the relationship of various browsing histories and log is all difficult to clear, together
When, it is also troublesome assignment for staff, and there is the relevance of some data to be difficult to find.It therefore, is understanding
A kind of certainly above problem, it is desirable to provide new data analysing method.
Summary of the invention
In view of the deficiencies of the prior art, the present invention proposes the multi dimensional analysis methods based on data to criminal offence, specifically
Technical solution is as follows: based on data to the multi dimensional analysis method of criminal offence, it is characterised in that:
Using following steps,
S1: data acquisition module extracts all data on mobile phone memory card, is saved in database；
S2: being provided with regular expression, and data screening module is according to regular expression to meeting canonical in information data table
The information of expression formula extracts, which corresponds to log and account information；
S3: data screening module is traversed by the data in crucial word pair database, and keyword is corresponding up and down
Literary data are extracted in evidence library；
S4: it is intimate to establish social networks for the voice frequency in communications records with each member for similarity analysis module
The list of degree；
S5: data acquisition module exports the chat record in social software to tranining database；
S6: preprocessing module carries out data cleansing to the data in tranining database, obtains the corresponding chat number of the account
According to；
S7: after word segmentation module carries out word division processing according to semanteme to chat data, input data is obtained；
S8: the input data is transported in neural network model, and neural network model classifies to input data, should
Neural network model carries out Classification and Identification to input data, and the data of Classification and Identification are stored in result database；
S9: statistical module counts the data in result database, obtains the language behavioural characteristic of user.
Further: the account information includes wechat account and QQ account.
Further: in the S2, the analysis method that the similarity analysis module uses is calculated for Minkowskwi distance
Method.
The invention has the benefit that first, the similarity analysis module of setting can be directed to communications records member relation
User-association degree map is established, effectively shows the distance of interactive member relation.
Second, the neural network model of setting can classify to the chat record of user, pass through neural network model
Data classification after, can clearly establish the language behavioural characteristic of user.
Third effectively reduces the labour of evidence obtaining personnel by the interaction of various modules.
Detailed description of the invention
Fig. 1 is work flow diagram of the invention.
Specific embodiment
The preferred embodiments of the present invention will be described in detail with reference to the accompanying drawing, so that advantages and features of the invention energy
It is easier to be readily appreciated by one skilled in the art, so as to make a clearer definition of the protection scope of the present invention.
As shown in Figure 1:
Based on data to the multi dimensional analysis method of criminal offence,
Using following steps,
S1: data acquisition module extracts all data on mobile phone memory card, is saved in database；
S2: being provided with regular expression, and data screening module is according to regular expression to meeting canonical in information data table
The information of expression formula extracts, which corresponds to log and account information, which includes wechat account
Number and QQ account.；
S3: data screening module is traversed by the data in crucial word pair database, and keyword is corresponding up and down
Literary data are extracted in evidence library；
S4: it is intimate to establish social networks for the voice frequency in communications records with each member for similarity analysis module
The list of degree；
S5: data acquisition module exports the chat record in social software to tranining database；
S6: preprocessing module carries out data cleansing to the data in tranining database, obtains the corresponding chat number of the account
According to；
S7: after word segmentation module carries out word division processing according to semanteme to chat data, input data is obtained；
S8: the input data is transported in neural network model, and neural network model classifies to input data, should
Neural network model carries out Classification and Identification to input data, and the data of Classification and Identification are stored in result database；
S9: statistical module counts the data in result database, obtains the language behavioural characteristic of user.
In S2, the analysis method that similarity analysis module uses is Minkowskwi distance algorithm.
Claims (3)
1. based on data to the multi dimensional analysis method of criminal offence, it is characterised in that:
Using following steps,
S1: data acquisition module extracts all data on mobile phone memory card, is saved in database；
S2: being provided with regular expression, and data screening module is according to regular expression to meeting regular expressions in information data table
The information of formula extracts, which corresponds to log and account information；
S3: data screening module is traversed by the data in crucial word pair database, by the corresponding context number of keyword
According to extracting in evidence library；
S4: similarity analysis module establishes social networks cohesion for the voice frequency in communications records with each member
List；
S5: data acquisition module exports the chat record in social software to tranining database；
S6: preprocessing module carries out data cleansing to the data in tranining database, obtains the corresponding chat data of the account；
S7: after word segmentation module carries out word division processing according to semanteme to chat data, input data is obtained；
S8: the input data is transported in neural network model, and neural network model classifies to input data, the nerve
Network model carries out Classification and Identification to input data, and the data of Classification and Identification are stored in result database；
S9: statistical module counts the data in result database, obtains the language behavioural characteristic of user.
2. according to claim 1 based on data to the multi dimensional analysis method of criminal offence, it is characterised in that: the account
Information includes wechat account and QQ account.
3. according to claim 1 based on data to the multi dimensional analysis method of criminal offence, it is characterised in that: the S2
In, the analysis method that the similarity analysis module uses is Minkowskwi distance algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811450130.XA CN109558488A (en) | 2018-11-30 | 2018-11-30 | Based on data to the multi dimensional analysis method of criminal offence |
Applications Claiming Priority (1)
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| CN201811450130.XA CN109558488A (en) | 2018-11-30 | 2018-11-30 | Based on data to the multi dimensional analysis method of criminal offence |
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| CN109558488A true CN109558488A (en) | 2019-04-02 |
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| CN201811450130.XA Pending CN109558488A (en) | 2018-11-30 | 2018-11-30 | Based on data to the multi dimensional analysis method of criminal offence |
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| CN108133018A (en) * | 2017-12-23 | 2018-06-08 | 廖赟 | A kind of data evidence obtaining recommendation method based on association polymerization |
| CN108520046A (en) * | 2018-03-30 | 2018-09-11 | 上海掌门科技有限公司 | Search for the method and apparatus of chat record |
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2018
- 2018-11-30 CN CN201811450130.XA patent/CN109558488A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050154701A1 (en) * | 2003-12-01 | 2005-07-14 | Parunak H. Van D. | Dynamic information extraction with self-organizing evidence construction |
| US20180069881A1 (en) * | 2015-03-18 | 2018-03-08 | Inquisitive Systems Limited | Forensic analysis |
| CN105488029A (en) * | 2015-11-30 | 2016-04-13 | 西安闻泰电子科技有限公司 | KNN based evidence taking method for instant communication tool of intelligent mobile phone |
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| CN106933991A (en) * | 2017-02-24 | 2017-07-07 | 陈晶 | A kind of depth analysis towards intelligent terminal and user's portrait system and method |
| CN107870988A (en) * | 2017-10-17 | 2018-04-03 | 厦门市美亚柏科信息股份有限公司 | A kind of information verification method, terminal device and storage medium |
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Application publication date: 20190402 |