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Biometric-Driven Encryption and Blockchain-Based Audit Trail for Secure Forensic Evidence Management
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Author(s): Yacine Belhocine (Laboratory of Mathematics, Informatics, and Systems, University of Echahid Cheikh Laarbi Tbessi, Tebessa, Algeria), Abdallah Meraoumia (Laboratory of Signals and Smart Systems, Echahid Cheikh Larbi Tebessi University, Algeria), Salim Chitroub (Laboratory of Intelligent and Communicating Systems Engineering, USTHB, Algiers, Algeria)and Hakim Bendjenna (Laboratory of Mathematics, Informatics, and Systems, University of Echahid Cheikh Laarbi Tbessi, Tebessa, Algeria)
Copyright: 2026
Pages: 36
Source title:
Exploring the Intersection of Forensics and Biometrics
Source Author(s)/Editor(s): Sarah Benziane (University of Science and Technology in Oran, Algeria)
DOI: 10.4018/979-8-3373-4972-5.ch011
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Abstract
The secure management of biometric evidence is essential in modern forensic investigations, requiring data integrity, confidentiality, and accountability throughout the evidence lifecycle. This chapter presents a framework combining homomorphic encryption with blockchain-based audit trails to enhance security and transparency in biometric systems. Biometric features, such as palmprints, are encrypted using homomorphic schemes, allowing computations on encrypted data without compromising privacy. Encrypted feature vectors are stored in a decentralized environment via the InterPlanetary File System (IPFS), while all interactions are logged through blockchain smart contracts for tamper-proof auditability. Experiments show the system maintains high recognition accuracy with acceptable computational overhead and low transaction costs. This approach provides a scalable, privacy-preserving, and forensically sound solution for managing biometric evidence in digital investigations and legal proceedings.
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