Artificial Intelligence And Digital Forensics
Document Type
Book Chapter
Source of Publication
Machine Learning for Authorship Attribution and Cyber Forensics
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.
DOI Link
ISSN
Publisher
Springer International Publishing
First Page
139
Last Page
150
Disciplines
Computer Sciences
Recommended Citation
Iqbal, Farkhund; Debbabi, Mourad; and Fung, Benjamin C. M., "Artificial Intelligence And Digital Forensics" (2020). All Works. 558.
https://zuscholars.zu.ac.ae/works/558
Indexed in Scopus
no
Open Access
no