The Application of Association Analysis in Mobile Phone Forensics System - Intelligence Science II Third IFIP TC 12 International Conference, ICIS 2018 Access content directly
Conference Papers Year : 2018

The Application of Association Analysis in Mobile Phone Forensics System

Huan Li
  • Function : Author
  • PersonId : 1046620
Bin Xi
  • Function : Author
  • PersonId : 1046621
Shunxiang Wu
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  • PersonId : 1046622
Jingchun Jiang
  • Function : Author
  • PersonId : 1046623
Yu Rao
  • Function : Author
  • PersonId : 1046624

Abstract

As the connection between human life and smart phones becomes close, mobile devices store a large amount of private information. Forensic personnel can obtain information related to criminal through mobile phones, but the traditional mobile phone forensics system is limited to a simple analysis of the original information and can’t find the hidden relationship between data. This article will introduce a method based on K-means clustering and association rule mining to improve the traditional forensics system. Through the cluster analysis of basic information, the relationship between suspects and their contactors can be explored. At the same time, association rules mining can be used to analyze the behavior of suspects so as to predict the time and contact of each event. Help law enforcement agencies find evidence hidden behind the data and improve the efficiency of handling cases.
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hal-02118811 , version 1 (03-05-2019)

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Huan Li, Bin Xi, Shunxiang Wu, Jingchun Jiang, Yu Rao. The Application of Association Analysis in Mobile Phone Forensics System. 2nd International Conference on Intelligence Science (ICIS), Nov 2018, Beijing, China. pp.126-133, ⟨10.1007/978-3-030-01313-4_13⟩. ⟨hal-02118811⟩
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