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http://dx.doi.org/10.13089/JKIISC.2018.28.2.407

Instagram Users Behavior Analysis in a Digital Forensic Perspective  

Seo, Seunghee (Department of Computer Science and Engineering, Seoul National University of Science and Technology)
Kim, Yeog (Department of Computer Science and Engineering, Seoul National University of Science and Technology)
Lee, Changhoon (Department of Computer Science and Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.28, no.2, 2018 , pp. 407-416 More about this Journal
Abstract
Instagram is a Social Network Service(SNS) that has recently become popular among people of all ages and it makes people to construct social relations and share hobbies, daily routines, and useful information. However, since the uploaded information can be accessed by arbitrary users and it is easily shared with others, frauds, stalking, misrepresentation, impersonation, an infringement of copyright and malware distribution are reported. For this reason, it is necessary to analyze Instagram from a view of digital forensics but the research involved is very insufficient. So in this paper, We performed reverse engineering and dynamic analysis of Instagram from a view of digital forensics in the Android environment. As a result, we checked three database files that contain user behavior analysis data such as chat content, chat targets, posted photos, and cookie information. And we found the path to save 4 files and the xml file to save various data. Also we propose ways to use the above results in digital forensics.
Keywords
Digital Forensic; Instagram; SNS; Android; Android reverse engineering;
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