JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (09): 150-153.doi: 10.6040/j.issn.1671-9352.2.2014.235

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A KNN based forensic method of Android smartphone WeChat

WU Xi-xi1,2, LI Bing-long1,2, ZHANG Tian-qi3   

  1. 1. The Forth College, Information Engineering University, Zhengzhou 450004, Henan, China;
    2. State Key Laboratory of Mathematics Engineering and Advanced Computing, Information Engineering University, Zhengzhou 450004, Henan, China;
    3. No.65547 Unit, PLA, Anshan 114200, Liaoning, China
  • Received:2014-06-24 Revised:2014-08-28 Online:2014-09-20 Published:2014-09-30

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Abstract: To solve the problem that data of WeChat is so much that data related to the case can't be found quickly, a Android smart phone WeChat forensic method based KNN algorithm was presented. Word similarity was introduced to calculate the distance of conversations. The conversations would be represented as a vector of feature words and categorized with KNN algorithm to quickly find the crime-related data. The experiments verify the feasibility and accuracy of the method.

Key words: KNN algorithm, word similarity, WeChat forensics, data categorization

CLC Number: 

  • TP311
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