Collecting and Analyzing Digital Proof Material to Detect Cybercrimes

Nowadays it is crucial for maintaining security defence on devices against cybercrimes over the Internet. None of the existing systems proved to be flawless, though various approaches have been used to counter cybercrime activities. This paper proposes a real time model for identifying and collecting cybercrime evidences. In particular, the proposed model comprises three main components, rules-based IDS for cybercrimes monitoring and identifying their features. Database for collecting and storing features of new cybercrimes and BASE for result viewing in real time. Features installed on Raspberry Pi, were dedicated for data collection process. The proposed model is efficient in identifying and collecting network cybercrimes evidences in real time based on the result demonstrated.