Artificial Intelligence Applied to digital Email for forensic Application Mr. Bandgar Shrimant B.*, Mr. Sale Mahesh*, Dr. Meshram B. B.** *Department of Computer Technology, VJTI, Mumbai, (India) **Prof & Head, Computer Technology, VJTI, Mumbai, (India) Online published on 26 June, 2013. Abstract The number of computer security incidents is growing exponentially and society's collective ability to respond to this crisis is constrained by the lack of trained professionals. The increased use of the Internet and computer technology to commit crimes indicates an abuse of new developments that requires a response by those involved in law enforcement. In this paper we see new research approach that uses artificial intelligence and data mining techniques to study spam emails with the focus on law enforcement forensic analysis. In this 1st we retrieve useful attributes or features from spam emails, these are use in intelligence toolkit to reduction size to investigation then we use clustering algorithm to form relationships between messages. These first clusters are then refined by using a weighted edges model where membership in the cluster requires the weight to exceed a chosen threshold and data mining to managed database. Herein, we describe the use of Artificial Intelligence in computer forensics through the development of a multiagent system and span email tracking retrieve useful attributes from spam emails. Top Index Terms computer forensics, Electronic Mail, Spam, artificial intelligence, multiagent systems, Data Mining, Cyber Crime, digital investigation. Top |