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A Paradigm Shift In Traditional Investigation Methods: Introduction Of AI In Digital Forensics




Dr. Sufiya Ahmed, Associate Professor, Department of Law, Babasaheb Bhimrao Ambedkar University, Lucknow

Nikhil Kumar, LLM, Department of Law, Babasaheb Bhimrao Ambedkar University, Lucknow


ABSTRACT


Digital forensics offers a scientific method of acquisition, analysis, and preservation of data contained in digital media whose information and contents can be used as evidence in a court of law. This form of investigation is done for the search of digital evidence so that it can be produced before the court and made admissible. Given the complexity and ever-evolving nature of digital threats, it is suggested that a paradigm shift in the way that cyber forensics investigations are conducted is required. Artificial intelligence holds great promise for criminal investigations, especially in the areas of information extraction, data analysis, and decision-making support. It can also help with data gathering and processing, criminal activity identification, prediction, and classification. Artificial intelligence can improve law enforcement agencies' operations by lowering the need for extra human resources, expediting investigations, and minimising human mistakes. AI can bring a boom in cybercrime detection and investigation, DNA analysis, e-document detection, and any literature finding through meta-analysis of vast, complex data available from various sources in a very short period of time. This paper offers a critical insight into the current challenges faced by our criminal justice system and proposes to apply AI technology for ensuring speedy justice.


Keywords: criminal investigation, cyber forensics, digital forensics, AI



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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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.

 

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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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