An Approach to Identify Vulnerable Features of Instant Messenger

Swift proliferation in Instant Messaging (IM) applications, installed on Smartphone, has made it a target of the attacker to conduct crimes such as cyber stalking, threatening etc. It is possible to exploit Instant Messaging applications, owing to the presence of vulnerabilities such as sensitive data capture, weak cryptography etc. It has fuelled the need of conducting forensic analysis of IM applications through classifying these vulnerabilities. This paper focuses on performing forensic analysisx of IM Application on Android platform by identifying and classifying vulnerabilities such as sensitive data capture, weak cryptography etc. An approach is proposed using Machine Learning Methodology combined with the Genetic Algorithm to conduct forensic analysis. Further the developed approach has been applied on Line messenger to test its' accuracy. It is examined that 12% features in Line Messenger are vulnerable.

[1]  Anderson Rocha,et al.  Visual Computing and Machine Learning Techniques for Digital Forensics , 2015, RITA.

[2]  Shahzad Saleem,et al.  Forensic analysis of three social media apps in windows 10 , 2015, 2015 12th International Conference on High-capacity Optical Networks and Enabling/Emerging Technologies (HONET).

[3]  Ibrahim M. Baggili,et al.  Forensic artifacts of the ChatON Instant Messaging application , 2013, 2013 8th International Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE).

[4]  Lin Liu,et al.  DIGITAL & MULTIMEDIA SCIENCES , 2016 .

[5]  Jesus Mena,et al.  Machine Learning Forensics for Law Enforcement, Security, and Intelligence , 2011 .

[6]  Nedaa Al Barghouthy,et al.  Social Networks IM Forensics: Encryption Analysis , 2013, J. Commun..

[7]  Shubham Sahu.  An Analysis of WhatsApp Forensics in Android Smartphones , 2014 .

[8]  Barry Lun.  Forensic investigation for Instant Messenger: evidence extraction tools and techniques , 2012 .

[9]  Jason Moore,et al.  Network and device forensic analysis of Android social-messaging applications , 2015, Digit. Investig..

[10]  Cosimo Anglano,et al.  Forensic analysis of WhatsApp Messenger on Android smartphones , 2014, Digit. Investig..

[11]  Fabio Roli,et al.  Machine learning in computer forensics (and the lessons learned from machine learning in computer security) , 2011, AISec '11.

[12]  Feng Gao,et al.  Analysis of WeChat on IPhone , 2013 .

[13]  Antonio J. Tallón-Ballesteros,et al.  Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning , 2014, Computational Intelligence in Digital Forensics.

[14]  Abdullah Talha Kabakus,et al.  Survey of Instant Messaging Applications Encryption Methods , 2015 .

[15]  Aditya Mahajan,et al.  Forensic Analysis of Instant Messenger Applications on Android Devices , 2013, ArXiv.

[16]  Simon Tjoa,et al.  Taxonomy of Data Fragment Classification Techniques , 2013, ICDF2C.