Digital Evidence in Romanian Criminal Proceedings: Computational Challenges, Procedural Safeguards and Artificial Intelligence-Based Tools
Authors
Assoc. Prof. PhD, Faculty of Computers and Applied Computer Science; Director, Multidisciplinary Computer Science Research Center (CCIM), “Tibiscus” University of Timișoara (Romania)
PhD Candidate, Faculty of Law and Public Administration, “Tibiscus” University of Timișoara (Romania)
Article Information
DOI: 10.51244/IJRSI.2026.1310000083
Subject Category: Criminology
Volume/Issue: 13/10 | Page No: 1083-1105
Publication Timeline
Submitted: 2026-10-21
Accepted: 2026-10-26
Published: 2026-11-02
Abstract
Digital evidence is now present in almost every criminal case, yet it is volatile, easily altered and difficult to verify for a judge without technical training. The Romanian Code of Criminal Procedure requires computer searches to preserve the integrity of data, but the cryptographic safeguards it mentions, such as electronic signatures, remain optional. This article aims to translate the procedural guarantees of domestic and European law (Regulation (EU) 2023/1543, Directive (EU) 2016/680, and the case law of the European Court of Human Rights and of the Court of Justice of the European Union) into verifiable technical requirements. The methodology combines normative and case-law analysis with a review of digital forensics standards. On this basis, we propose a chain-of-custody model built on an append-only ledger chained through hash functions, electronic signatures, timestamps issued by a third party and a Merkle tree for data minimisation. The model was implemented as a Python prototype and evaluated on synthetic data. Internal verification of the ledger detected every alteration in 11 of 13 tampering scenarios, each tested in 1,000 trials. Truncation of the ledger and its complete rewriting by colluding operators were detected only when the final ledger value was anchored with an independent third party, in which case the detection rate reached 100%. The mechanism added about 0.75–0.80 s of computation per GiB of data, verification took about 0.19 ms per record, and Merkle proofs stayed below 640 bytes for one million files. We conclude that the integrity of digital evidence can be demonstrated rather than merely presumed, provided that data signing and external anchoring become mandatory. We also show that AI-based triage tools, which largely fall outside the high-risk category of the AI Act, create specific risks for the defence and should be recorded in the same chain of custody.
Keywords
Digital evidence, chain of custody, digital forensics, Merkle tree, artificial intelligence
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References
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