Publication Type:

Conference Paper

Source:

2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, Institute of Electrical and Electronics Engineers Inc. (2017)

ISBN:

9781509045594

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030249349&doi=10.1109%2fICACCS.2017.8014682&partnerID=40&md5=64e1b0ce74ea1fdfc3b5df64f5e1d373

Keywords:

Behavioral research, Digital forensics, Forensic analyst, Forensic investigation, Knowledge representation, Motion pictures, Online repositories, Ontology, Potential sources, Protege, Semantic Web, Social media, Social media analysis, Social media networks, Social networking (online)

Abstract:

Whenever some user posts on social media networks, knowingly or unknowingly their activity is registered in countless online repositories. This exposes parts of the data to be publicly available; as a consequence of this a forensic analyst can reveal past activities, reconstruct a biased timeline and recover deleted data of the suspect. Movie ontology maps the input from movies and videos of user via facebook graph API to produce adaptive results of user activity related to their entertainment activities. Movie ontology will demonstrate how to reconstruct the social behavior of the user from the file and how to interpret the gained information as a potential source of evidence in digital forensic investigations. © 2017 IEEE.

Notes:

cited By 0; Conference of 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017 ; Conference Date: 6 January 2017 Through 7 January 2017; Conference Code:130103

Cite this Research Publication

A. K. Mohan and Venkataraman, D., “Forensic future of social media analysis using web ontology”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, 2017.

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