Enhancing Forensic Investigations Leveraging Blockchain and Smart Contracts for Security and Transparency

Authors

  • Mrs. D. Thamizhisai Assistant Professor, Department of Computer Science and Engineering, RAAK College of Engineering and Technology, Puducherry, India Author
  • S. Bharathi UG Scholar, Department of Computer Science and Engineering, RAAK College of Engineering and Technology, Puducherry, India Author
  • U. Bhuvaneshwaran UG Scholar, Department of Computer Science and Engineering, RAAK College of Engineering and Technology, Puducherry, India Author
  • S. Mervin Immanuvel UG Scholar, Department of Computer Science and Engineering, RAAK College of Engineering and Technology, Puducherry, India Author
  • M. Patchaiyappan UG Scholar, Department of Computer Science and Engineering, RAAK College of Engineering and Technology, Puducherry, India Author

Keywords:

Blockchain, Smart Contracts, Forensic Investigations, Security, Transparency, Legal System

Abstract

The incorporation of blockchain technology into forensic investigations represents a significant advancement, tackling critical challenges within the legal and criminal justice systems. Central to this integration are smart contracts, which automate and secure essential aspects of investigations. These self-executing agreements operate based on predefined rules, ensuring integrity and transparency in tasks such as evidence tracking, chain of custody management, and access control. A key advantage lies in the substantial enhancement of data security. Blockchain's cryptographic principles and decentralized structure make it highly resistant to unauthorized access and tampering, crucial in maintaining evidence integrity. Additionally, blockchain's immutability ensures the reliability of information; once recorded, data becomes virtually unalterable, providing an indisputable ledger of events. In summary, this innovative integration streamlines operations, reduces errors and disputes, and strengthens the trustworthiness of forensic investigations by offering an unforgeable and transparent chain of custody and evidence history within the legal and criminal justice framework.

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References

Rana, S. K., Rana, A. K., Rana, S. K., Sharma, V., Lilhore, U. K., Khalaf, O. I., & Galletta, A. (2023). Decentralized model to protect digital evidence via smart contracts using layer 2 polygon blockchain. IEEE Access.

Dhabliya, D., Veeraiah, V., Dari, S. S., Kumar, J. R. R., Dhabliya, R., Gupta, A., & Pramanik, S. (2024). An Investigation on the Utilization of Blockchain in the Field of Digital Forensics. In Revolutionizing the Global Stock Market: Harnessing Blockchain for Enhanced Adaptability (pp. 1-28). IGI Global.

Agarwal, U., Rishiwal, V., Tanwar, S., & Yadav, M. (2024). Blockchain and crypto forensics: Investigating crypto frauds. International Journal of Network Management, 34(2), e2255.

Alqahtany, S. S., & Syed, T. A. (2024). ForensicTransMonitor: A Comprehensive Blockchain Approach to Reinvent Digital Forensics and Evidence Management. Information, 15(2), 109.

Ragu, G., & Ramamoorthy, S. (2023). A blockchain-based cloud forensics architecture for privacy leakage prediction with cloud. Healthcare Analytics, 4, 100220.

Sheelvanth, L. V., & Gundge, Y. V. AN IMPLEMENTATION OF BLOCKCHAIN TECHNOLOGY ON FORENSIC EVIDENCE MANAGEMENT SYSTEM.

Potdar, V., Santhosh, L., Hrithik, H., Kanish, B., Harsha, C., & Mahantesh, S. Forensic Evidences Made Tamper-Proof using Block Chain.

Chernyshenko, V., & Mkrttchian, V. (Eds.). (2023). Blockchain applications: Transforming Industries, enhancing security, and addressing ethical considerations. BoD–Books on Demand.

Osterrieder, J., Chan, S., Chu, J., Zhang, Y., Misheva, B. H., & Mare, C. (2024). Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques. arXiv preprint arXiv:2402.11231.

Nazir, A., He, J., Zhu, N., Wajahat, A., Ullah, F., Qureshi, S., ... & Pathan, M. S. (2024). Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration. Journal of King Saud University-Computer and Information Sciences, 101939.

IoT Devices Installed Base Worldwide 2015–2025|Statista. Available online:https://www.statista.com/statistics/471264/iotnumber-of-connected-devices-worldwide/ (accessed on 29 December 2022).

Xu, L.; Jurcut, A.D.; Ranaweera, P. Introduction to IoT Security; Wiley: Hoboken, NJ, USA, 2019. [CrossRef]

Li, S.; Qin, T.; Min, G. Blockchain-Based Digital Forensics Investigation Framework in the Internet of Things and Social Systems. IEEE Trans. Comput. Soc. Syst. 2019, 6, 1433–1441. [CrossRef]

Hanggoro, D.; Sari, R.F. A Review of Lightweight Blockchain Technology Implementation to the Internet of Things. Available online: https://ieeexplore.ieee.org/abstract/document/9042431/ (accessed on 29 December 2022).

Lu, Y.; Huang, X.; Dai, Y.; Maharjan, S.; Zhang, Y. Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT. IEEE Trans. Ind. Inform. 2020, 16, 4177–4186.

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Published

06-05-2024

Issue

Section

Research Articles

How to Cite

Enhancing Forensic Investigations Leveraging Blockchain and Smart Contracts for Security and Transparency. (2024). International Journal of Scientific Research in Science and Technology, 11(3), 91-100. https://ijsrst.com/index.php/home/article/view/IJSRST5241134

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