Secure Cross-Chain Provenance for Digital Forensics Collaboration
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 blockchains. Our solution, ForensiCross, is the first cross-chain solution specifically designed for digital forensics and provenance. It includes BridgeChain and features a unique communication protocol for cross-chain and multi-chain solutions. ForensiCross offers meticulous provenance capture and extraction methods, mathematical analysis to ensure reliability, scalability considerations for a distributed intermediary in collaborative blockchain contexts, and robust security measures against potential vulnerabilities and attacks. Analysis and evaluation results indicate that ForensiCross is secure and, despite a slight increase in communication time, outperforms in node count efficiency and has secure provenance extraction. As an all-encompassing solution, ForensiCross aims to simplify collaborative investigations by ensuring data integrity and traceability.
Authors
- Hoda Maleki (ORCID: https://orcid.org/0000-0003-0364-6029)
- Asma Jodeiri Akbarfam (ORCID: https://orcid.org/0009-0007-1364-1586)
- Gokila Dorai (ORCID: https://orcid.org/0000-0001-5825-7034)
Institutions
- Augusta University (US)
Publication Details
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1109/tps-isa62245.2024.00051
- Citations
- 1
- Primary Topic
- Digital and Cyber Forensics
- Type
- article
- Field-Weighted Citation Impact
- 0.78