Open AccessResearch on Forensics of Social Network Relationship Based on Big Data
Author(s) -
Jin Tian,
Yan Bi,
Jianhua Ma
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1584/1/012022
Subject(s) - computer science , network forensics , commit , popularity , social network (sociolinguistics) , mobile phone , computer security , scope (computer science) , key (lock) , the internet , big data , process (computing) , mode (computer interface) , internet privacy , world wide web , data science , social media , digital forensics , data mining , human–computer interaction , database , telecommunications , psychology , social psychology , programming language , operating system
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.