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DZURENDA, P.; TRAN, M.; RICCI, S.; MALINA, L.; IQBAL, M.; STUPKA, V.; MATULEVICIUS, R.
Original Title
ForensicChain: Blockchain-based Secure Digital Forensic Investigations
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
The digitalization of public and governmental services has enhanced the efficiency, transparency, and collaboration in forensic investigations. However, digital forensics faces critical challenges related to maintaining the integrity, authenticity, and trustworthiness of forensic evidence. This paper addresses how to preserve the integrity of forensic evidence throughout its lifecycle and the balance of trust among stakeholders. We propose a blockchain-based digital forensic system, ForensicChain, that securely records, updates, and verifies case-related data while adhering to legal and technological aspects. Our method leverages Merkle trees to generate cryptographic fingerprints of case files, allowing efficient tamper detection. The system ensures that authorized actions are recorded, maintaining a fully auditable record of modifications. We demonstrate the practicality of our proposed solution through a proof of concept implementation using the Cardano blockchain.
English abstract
Keywords
Blockchain; Digital Forensic; Security; Access Control; Smart Contract; Investigation Processes Integrity; Trustworthiness.
Key words in English
Authors
RIV year
2026
Released
25.11.2025
Publisher
Springer
Book
Foundations and Practice of Security - 18th International Symposium, FPS 2025
Periodical
Lecture Notes in Computer Science
Volume
1
Number
11
State
Federal Republic of Germany
Pages from
28
Pages to
43
Pages count
16
URL
https://hub.imt-atlantique.fr/fps2025/pre-proceedings
BibTex
@inproceedings{BUT199878, author="Petr {Dzurenda} and Minh {Tran} and Sara {Ricci} and Lukáš {Malina} and Mubashar {Iqbal} and Václav {Stupka} and Raimundas {Matulevicius}", title="ForensicChain: Blockchain-based Secure Digital Forensic Investigations", booktitle="Foundations and Practice of Security - 18th International Symposium, FPS 2025", year="2025", journal="Lecture Notes in Computer Science", volume="1", number="11", pages="28--43", publisher="Springer", issn="0302-9743", url="https://hub.imt-atlantique.fr/fps2025/pre-proceedings" }