Levelwise filtration system for forensic analysis of social networking
Bipin Bihari Jayasingh, Manas Ranjan Patra, Sumitra Mallick · 2016
There is millions of users in the social networking sites including the users with criminal mentality. The criminals always use sophisticated technology in order to evade detection and perform criminal acts. But any criminal activities can be revealed through forensic science tools and techniques where potential legal evidence can be extracted and presented to the legal authorities. The major concern is difficult to find a culprit among all users as well as difficult to suspect a user as culprit without proper admissible technique. This paper have developed a forensic system for social networking related crimes that help the investigators in finding the prime suspect of the crime as well as group of other users that are related to the crime. The forensic system provides the hierarchical levels of suspects group where each level has no of users with their probability of suspicion. The system reflects, the lower the level the more the suspicion among the users, hence the lowest level users are the prime suspects. Now the system helps the investigator to start the interrogation from the prime suspects to backward higher level in the hierarchy until the investigation process completes. As there is a possibility of accomplishing the crime without the culprit, the urgent need is to find the group of other users involved in the activity. The system is developed and implemented using a tree map concept which is easily understandable by investigator based on the users' data.