Published Paper Details:

With the increased use of Internet and information technol-ogy all over the world, there is an increased amount of criminal activities that involve computing and digital data. These digital crimes (e-crimes) impose new challenges on prevention, detection, investigation, and pros-ecution of the corresponding o?ences. Computer forensics (also known as cyberforensics) is an emerging research area that applies computer in-vestigation and analysis techniques to help detection of these crimes and gathering of digital evidence suitable for presentation in courts. This new area combines the knowledge of information technology, forensics science, and law and gives rise to a number of interesting and challeng-ing problems related to computer security and cryptography that are yet to be solved.To be able to examine large amounts of data in a timely manner in search of important evidence during crime in-vestigations is essential to the success of computer forensic examinations. The limitations in time and resources, both computational and human, have a negative impact in the results obtained. Thus, better use of the resources avail-able are necessary, beyond the capabilities of the currently used forensic tools. Herein, we describe the use of Artificial Intelligence in computer forensics through the development of a multiagent system and case-based reasoning. This sys-tem is composed of specialized intelligent agents that act based on the experts knowledge of the technical domain. Their goal is to analyze and correlate the data contained in the evidences of an investigation and based on its ex-pertise, present the most interesting evidence to the human examiner, thus reducing the amount of data to be person-ally analyzed. The correlation feature helps to find links between evidences that can be easily overlooked by a hu-man expert, specially due to the amount of data involved.