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Forensic Analysis Of Blockchain, Cryptocurrency And AI-Related Crimes: A Comparative Analysis Of Emerging Trends In The Admissibility Of Digital Evidence




Dr. Ramprakash Chaubey, Principal, Gyan Ganga College of Excellence (Law), Jabalpur, M.P.


ABSTRACT


The rise of blockchain, cryptocurrency, and AI has opened new doors for criminals, demanding an update to how we approach forensic investigations and digital evidence. This research compares the admissibility of digital evidence in crimes involving these technologies, specifically in India, the USA, the UK, and the EU. The study examines legal frameworks, court interpretations, and forensic practices for authenticating and presenting digital evidence from blockchain, crypto wallets, and AI systems. While India has advanced with the Bharatiya Sakshya Adhiniyam, 2023, its legal and forensic systems are still evolving compared to other nations. The findings emphasize India's need to invest in specialized training, create specific legal guidelines for new digital evidence, promote diverse authentication methods, strengthen its virtual asset legal framework, and boost international collaboration. By learning from leading foreign jurisdictions, India can improve its capacity to investigate and prosecute crimes involving these advanced digital technologies.


Keywords: Digital Evidence Admissibility, Forensic Analysis, Blockchain Crimes, Cryptocurrency Crimes, AI-Related Crimes, Comparative Law, India.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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