Abstract:
In this research work, we are focusing to do a digital forensic analysis of social media through
mobile devices to determine the main criminal. We considered accused people mobile device
as the main evidence of cybercrime and tried to find out is this accused person is really a
criminal or not. The find out is the probability of being a criminal. Here the main data is the
deleted file and the keywords of the social media what we will get after the forensic analysis
of the mobile device. It will also make further development to find out the main culprits in the
investigation of cybercrime. We are trying to propose a better develop way in the forensic
analysis by which we can do our forensic analysis in less time. Like using the time stamps to
determine when there is most probably to occur a crime. For example, most of the cybercrime
happens on the weekends. We are doing our investigation using the cookies and the logica l
image of the device which is left behind by the cybercriminals
