Data Mining of Social Media Specific Strings for Rapid Forensic Investigation

A  Vinu    and A  Kumaravel

doi:10.17485/ijst/2015/v8i32/87773

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Data Mining of Social Media Specific Strings for Rapid Forensic Investigation

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i32/87773

Year: 2015, Volume: 8, Issue: 32, Pages: 1-5

Original Article

Data Mining of Social Media Specific Strings for Rapid Forensic Investigation

A. Vinu ¹ and A. Kumaravel^2*

¹Department of Information Technology, Jerusalem College of Engineering, Chennai - 600100, Tamil Nadu, India
²Department of Information Technology, Bharath University, Chennai - 600073, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Instant Messengers become an important means of communication. Millions of people. regardless of age, nationality, gender and computer skills, spend a lot of time using them every day. Thus, Social networks already occupied the place of traditional messaging systems of the past. More and more communications are migrating from public chat rooms and private messengers into online Social Networking Sites (SNSs). As cybercrimes mushroom in recent years, more and more digital crime investigations have strong relations to these SNSs. Communications extracted from SNSs can be extremely valuable and useful to all kinds of investigators including forensic investigators. We now apply the spotlight on distinct strings specific to each SNSs and volatile memory analysis and display of any case detail as a key to a successful digital investigation through rapid & improved retrieval performance.
Keywords: Digital Evidence, Distinct String Analysis, Forensic Investigators, Instant Messengers, Volatile Memory Analysis