4 research outputs found
A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response
In the dynamic landscape of digital forensics, the integration of Artificial
Intelligence (AI) and Machine Learning (ML) stands as a transformative
technology, poised to amplify the efficiency and precision of digital forensics
investigations. However, the use of ML and AI in digital forensics is still in
its nascent stages. As a result, this paper gives a thorough and in-depth
analysis that goes beyond a simple survey and review. The goal is to look
closely at how AI and ML techniques are used in digital forensics and incident
response. This research explores cutting-edge research initiatives that cross
domains such as data collection and recovery, the intricate reconstruction of
cybercrime timelines, robust big data analysis, pattern recognition,
safeguarding the chain of custody, and orchestrating responsive strategies to
hacking incidents. This endeavour digs far beneath the surface to unearth the
intricate ways AI-driven methodologies are shaping these crucial facets of
digital forensics practice. While the promise of AI in digital forensics is
evident, the challenges arising from increasing database sizes and evolving
criminal tactics necessitate ongoing collaborative research and refinement
within the digital forensics profession. This study examines the contributions,
limitations, and gaps in the existing research, shedding light on the potential
and limitations of AI and ML techniques. By exploring these different research
areas, we highlight the critical need for strategic planning, continual
research, and development to unlock AI's full potential in digital forensics
and incident response. Ultimately, this paper underscores the significance of
AI and ML integration in digital forensics, offering insights into their
benefits, drawbacks, and broader implications for tackling modern cyber
threats
Electronic Evidence and Electronic Signatures
In this updated edition of the well-established practitioner text, Stephen Mason and Daniel Seng have brought together a team of experts in the field to provide an exhaustive treatment of electronic evidence and electronic signatures. This fifth edition continues to follow the tradition in English evidence text books by basing the text on the law of England and Wales, with appropriate citations of relevant case law and legislation from other jurisdictions. Stephen Mason (of the Middle Temple, Barrister) is a leading authority on electronic evidence and electronic signatures, having advised global corporations and governments on these topics. He is also the editor of International Electronic Evidence (British Institute of International and Comparative Law 2008), and he founded the innovative international open access journal Digital Evidence and Electronic Signatures Law Review in 2004. Daniel Seng (Associate Professor, National University of Singapore) is the Director of the Centre for Technology, Robotics, AI and the Law (TRAIL). He teaches and researches information technology law and evidence law. Daniel was previously a partner and head of the technology practice at Messrs Rajah & Tann. He is also an active consultant to the World Intellectual Property Organization, where he has researched, delivered papers and published monographs on copyright exceptions for academic institutions, music copyright in the Asia Pacific and the liability of Internet intermediaries
Electronic Evidence and Electronic Signatures
In this updated edition of the well-established practitioner text, Stephen Mason and Daniel Seng have brought together a team of experts in the field to provide an exhaustive treatment of electronic evidence and electronic signatures. This fifth edition continues to follow the tradition in English evidence text books by basing the text on the law of England and Wales, with appropriate citations of relevant case law and legislation from other jurisdictions.
Stephen Mason (of the Middle Temple, Barrister) is a leading authority on electronic evidence and electronic signatures, having advised global corporations and governments on these topics. He is also the editor of International Electronic Evidence, and he founded the innovative international open access journal Digital Evidence and Electronic Signatures Law Review in 2004.
Daniel Seng (Associate Professor, National University of Singapore) is the Director of the Centre for Technology, Robotics, AI and the Law (TRAIL). He teaches and researches information technology law and evidence law. Daniel was previously a partner and head of the technology practice at Messrs Rajah & Tann. He is also an active consultant to the World Intellectual Property Organization, where he has researched, delivered papers and published monographs on copyright exceptions for academic institutions, music copyright in the Asia Pacific and the liability of Internet intermediaries