Machine Learning in Digital Forensics

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Copyright: 2025
Pages: 34
Source title: Exploring the Cybersecurity Landscape Through Cyber Forensics
Source Author(s)/Editor(s): Mohd Shahid Husain (College of Applied Sciences, University of Technology and Applied Sciences, Oman)
DOI: 10.4018/979-8-3693-2960-3.ch002

Keywords: Cyber and Network Security / Digital Crime & Forensics / Information Science Reference / Security & Forensics

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Abstract

In the intricate landscape of digital forensics, the integration of machine learning has ushered in a transformative era. Digital forensics is a discipline concerned with the recovery, analysis, and presentation of digital evidence in a manner that is legally admissible. The field is increasingly important due to the growing dependence on digital technologies and the proliferation of cybercrimes. With the exponential growth of digital devices and the increasing complexity of cybercrimes, digital forensics has become more challenging. Machine learning (ML), a subset of artificial intelligence (AI), has emerged as a pivotal technology in context of cyber forensics, offering sophisticated methods for analyzing large volumes of data, detecting anomalies, and automating complex tasks (Suaib, Akbar, & Husain, 2020).

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