AI-Driven Image Forensics for Cybercrime Detection: Chain of Custody and Legal Admissibility

Title

AI-Driven Image Forensics for Cybercrime Detection: Chain of Custody and Legal Admissibility

Creator

Pandey, Ananya

Description

Advanced techniques for analyzing and verifying digital images make AI-driven image forensics a crucial tool in detecting cybercrime. With the rise of cybercrime involving altered and forged images, AI-driven techniques like deepfake detection and metadata analysis present hopeful means for uncovering evidence. The incorporation of AI into forensic investigations, however, presents considerable challenges concerning the chain of custody and the legal admissibility of digital evidence. To ensure that digital evidence stays intact and unmodified during the investigation, it is crucial to uphold an uninterrupted chain of custody. To set forth unambiguous criteria regarding the admissibility of AI-processed evidence in court, legal systems must also grapple with the progressing character of AI. This chapter investigates how AI-driven forensics, maintaining the integrity of digital evidence, and the legal structures necessary to guarantee justice in the era of artificial intelligence intersect. 2026 by IGI Global Scientific Publishing.

Source

Advancements in Forensic Analysis of Digital Images for Security and Law Enforcement;pp.205-225

Date

01-01-2026

Publisher

IGI Global

Coverage

Pandey A., Christ University, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833733797-5; 979-833733795-1;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3373-3795-1.ch007

https://www.scopus.com/pages/publications/105032740808?origin=resultslist