Digital Forensics in the Age of AI and ML: Evidence Handling, Validation and Reporting

Authors: Ramchandra M*, Pravin H and Pravin S

DOI: 10.23880/oajda-16000132

Volume 2, Issue 1

Abstract

In the age of artificial intelligence (AI) and machine learning (ML), digital forensics has undergone substantial transformations increasing the efficiency and accuracy of evidence management, validation and reporting. This article investigates the incorporation of AI and machine learning technology into digital forensic techniques, with a focus on automating data processing, discovering trends and enhancing the overall dependability of forensic investigations. Key areas of evidence processing, such as collection, preservation and chain of custody, are evaluated in light of AI-powered technologies. The validation process is explained, with an emphasis on using ML algorithms to assure data integrity and authenticity. Furthermore, the article goes into new reporting methodologies made possible by AI, which provide complete and understandable information for legal and investigative purposes.

Keywords: Digital Forensics; Artificial Intelligence (AI); Machine Learning (ML); Evidence Handling; Validation; Reporting; Data Integrity; Chain of Custody; Automation; Forensic Investigations

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