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Contribution to Book
Artificial Intelligence And Digital Forensics
Machine Learning for Authorship Attribution and Cyber Forensics
  • Farkhund Iqbal
  • Mourad Debbabi
  • Benjamin C. M. Fung
Document Type
Book Chapter
Publication Date
12-5-2020
Abstract

Artificial intelligence (AI) is a well-established branch of computer science concerned with making machines smart enough to perform computationally large or complex tasks that normally require human intelligence; furthermore, it comprises a combination of technologies that can obtain insights and patterns from a massive amount of data which is a crucial element of forensic analysis. This chapter focuses on AI and its subfields: machine learning and deep learning"”in general"”and also details AI and data mining techniques pertaining to digital forensics. In highlighting the current shortcomings of prevailing approaches, we propose a new approach to offer a clearer insight into potential data, and/or detect variables of interest, as well as assess the future of digital forensics in the concluding section.

Publisher
Springer International Publishing
Disciplines
Indexed in Scopus
No
Open Access
No
https://doi.org/10.1007/978-3-030-61675-5_11
Citation Information
Farkhund Iqbal, Mourad Debbabi and Benjamin C. M. Fung. "Artificial Intelligence And Digital Forensics" Machine Learning for Authorship Attribution and Cyber Forensics (2020) p. 139 - 150 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/2364-9488" target="_blank">2364-9488</a>
Available at: http://works.bepress.com/farkhund-iqbal/137/