Research on Forensics of Social Network Relationship Based on Big Data

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Abstract

With the development of technologies such as big data, cloud computing, and mobile Internet, many cybercrimes have changed from the previous crime mode of single-person and single-machine to the crime mode of multi-person and multi-machine. Due to the popularity of mobile phones and various mobile terminal applications, many criminals often communicate with other members and commit crimes by mobile phones. Therefore, it is very important for the forensics of the electronic data in the instant communication tools. Much valuable information such as personal common contacts, chat content can be found in the mobile phone, which can help the investigators take the evidence of social network relationship and find many key clues. This paper expounds the forensics mode of social network relationship and the forensics process of mobile phones, and puts forward the forensics method of social network relationship based on Wechat platform, analyses the instance data set, obtains the social network diagram, and intuitively and clearly shows the relationship and intimacy between multiple members. The forensics of Social network relationship can help the investigation organizations narrow the scope of investigation and improve the efficiency of handling cases.

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APA

Junjing, T., Yan, B., & Jinqiang, M. (2020). Research on Forensics of Social Network Relationship Based on Big Data. In Journal of Physics: Conference Series (Vol. 1584). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1584/1/012022

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