Artificial Intelligence Applied to Computer Forensics

HUY DANG

Title: Artificial Intelligence Applied to Computer Forensics

Authors: Bruno W. P. Hoelz National Institute of Criminalistics Brasília, DF, Brazil

Célia Ghedini Ralha Brasilia University, Brasília, DF, Brazil

Rajiv Geeverghese Brasilia University, Brasília, DF, Brazil

Summary

ABSTRACT

The continuous development of digital storages media in particular or modern science in generally make the cyber-crime investigation increasingly complex because the more and more data in bigger digital storage media while current forensic investigation tools were not powerful enough to analyze a large amount of evidence found. That leads to the result of consuming too much time of the computer experts to perform the test, also the existing infrastructure to do forensic examinations are also have no distributed processing capabilities.

The objective of this article is to introduce a tool to help forensic computer professionals get better investigate results when compared to currently used tools considering on three aspects: First reduction of routine and repetitive analysis while also reducing the amount of evidence that must be personally reviewed by the expert, second correlation of evidences, and third distribution of processes.

Also presents some characteristics related to forensic examination of the computational systems as well as the use of artificial intelligence to conduct these examinations.

In the actual test, computer experts cannot determine in advance the evidence of crimes exposed. Problem is the lack of intelligent tools to help them on testing evidences before forensic analysis stage, results in the collection of a large number of machines are tested, some of which will not contribute to the overall results of the survey and will only increase the time needed to complete the examinations. So the demand for intelligent tools and better use of computational resources in the forensic examination process...