Secure Cross-Chain Provenance for Digital Forensics Collaboration
Asma Jodeiri Akbarfam, Gokila Dorai, Hoda Maleki

TL;DR
This paper introduces ForensiCross, a novel cross-chain framework designed to enable secure, reliable, and efficient collaboration across multiple blockchain systems for digital forensics and provenance tracking.
Contribution
It presents the first dedicated cross-chain solution for digital forensics, including a communication protocol, provenance methods, and security analysis to improve multi-agency collaboration.
Findings
ForensiCross is secure and reliable for provenance extraction.
It outperforms existing methods in node efficiency.
Communication time increases slightly but remains acceptable.
Abstract
In digital forensics and various sectors like medicine and supply chain, blockchains play a crucial role in providing a secure and tamper-resistant system that meticulously records every detail, ensuring accountability. However, collaboration among different agencies, each with its own blockchains, creates challenges due to diverse protocols and a lack of interoperability, hindering seamless information sharing. Cross-chain technology has been introduced to address these challenges. Current research about blockchains in digital forensics, tends to focus on individual agencies, lacking a comprehensive approach to collaboration and the essential aspect of cross-chain functionality. This emphasizes the necessity for a framework capable of effectively addressing challenges in securely sharing case information, implementing access controls, and capturing provenance data across interconnected…
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Taxonomy
TopicsScientific Computing and Data Management · Digital and Cyber Forensics · Privacy-Preserving Technologies in Data
