Considerations Towards a Cyber Crime Profiling System

The field of digital forensics is faced with a number of challenges, given the constant growth in technologies. The reliability and integrity associated with digital evidence from disparate sources is also a perpetual challenge, requiring considerable human interpretation in the reconstruction of any particular sequence of events. In this paper we present a framework for an integrity-aware forensic evidence management system (FEMS). In an effort to automate the analysis process, this system would provide investigators with a holistic view of the forensic evidence at hand; thereby providing insights into the quality of investigative inferences. The Biba integrity model is incorporated to preserve the integrity of digital evidence, while Casey´s Certainty Scale is chosen as the integrity classification scheme. A finite state automaton (FSA) is used to model the behaviour of the FEMS. In so doing, cyber crime profiling is achieved.