Forensics data analysis for behavioral pattern with cognitive predictive task

Abstract

Web browsing analysis is an emerging task to find the user’s behaviour during surfing of Internet. The individual session logs are observed and identified to authenticate and verify the intruders from normal users. While moving from one website to another website, the users will leave the digital footprints used to track the users’ interesting information which may assist the stakeholders about online advertising and the users’ sentimental analysis. A session log is a source for investigating an individual during a digital crime. Semantic forensics is novel investigation scheme employed to verify a users’ behaviour while browsing the Web, as it is a huge repository of information. In this paper, semantic forensics which is a new branch of forensic science is introduced and gives a clear-cut view about how the behavioural pattern of a user influence the semantic forensics. It also analyses the results by considering the sample database related to dark Web communication and explains how a session log can be accessed with the help of various phases in Cognitive Predictive Task (CPT).