Analysis of web browser for digital forensics investigation

Abstract

In today's digitalised world, a lot of information is getting online; the size of online data is getting huge day by day, and thus here emerges the field of data science. An internal malicious user can exploit a browser, and the main hindrance comes when all the browsing data is deleted. A forensics investigation needs to extract all the pieces of evidence like history, cookies, URL, sessions, and saved passwords from the cloud space provided by the browser. The research method is mixed qualitative and quantitative. A scenario is created in a virtual environment where there is a victim machine whose browser is exploited. Two different platforms are used for the authentication and verification of pieces of evidence collected. The culprit is being caught based on matching web browsing activities from the victim machine and another machine in the same place as the victim machine.