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Future Trends in AI and Digital Forensics

Hewa Majeed Zangana, Shuai Li

2024Advances in digital crime, forensics, and cyber terrorism book series16 citationsDOI

Abstract

As artificial intelligence (AI) continues to evolve, it is reshaping the landscape of digital forensics, introducing new tools, methodologies, and challenges. This chapter explores the anticipated future trends in AI that are poised to transform digital forensic practices. Key areas of focus include the integration of machine learning for enhanced evidence analysis, AI-driven automation for streamlining investigative processes, and advances in natural language processing to improve data interpretation. The chapter also addresses emerging challenges such as adversarial AI, ethical considerations, and the complexities of handling AI-generated evidence. By examining these trends, the chapter aims to provide a comprehensive overview of the trajectory of AI in digital forensics and its potential impact on forensic methodologies, legal frameworks, and cybersecurity.

Topics & Concepts

Digital forensicsComputer forensicsComputer scienceComputer securityDigital and Cyber ForensicsDigital Media Forensic DetectionAdversarial Robustness in Machine Learning
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