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.
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
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.