Machine learning in computer forensics (and the lessons learned from machine learning in computer security)

  • Authors:
  • Davide Ariu;Giorgio Giacinto;Fabio Roli

  • Affiliations:
  • University of Cagliari, Cagliari, Italy;University of Cagliari, Cagliari, Italy;University of Cagliari, Cagliari, Italy

  • Venue:
  • Proceedings of the 4th ACM workshop on Security and artificial intelligence
  • Year:
  • 2011

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Abstract

In this paper, we discuss the role that machine learning can play in computer forensics. We begin our analysis by considering the role that machine learning has gained in computer security applications, with the aim of aiding the computer forensics community in learning the lessons from the experience of the computer security community. Afterwards, we propose a brief literature review, with the purpose of illustrating the areas of computer forensics where machine learning techniques have been used until now. Then, we remark the technical requirements that should be meet by tools for computer security and computer forensics applications, with the goal of illustrating in which way machine learning algorithms can be of any practical help. We intend this paper to foster applications of machine learning in computer forensics, and we hope that the ideas in this paper may represent promising directions to pursue in the quest for more efficient and effective computer forensics tools.