Digital Forensics Investigation Framework Based on the Blockchain, IOT, and Social Networks

Authors

  • Vinod Kumar Uppalapu, Ajay Agarwal

Keywords:

blockchain, digital forensics, Internet of Things, evidence integrity, privacy preservation

Abstract

Digital forensics involves the identification, preservation, analysis, and presentation of digital evidence to support legal investigations. This paper introduces a novel blockchain-based framework for digital forensics (DF) within the context of Internet of Things (IoT) and social systems. The proposed framework, named IoT forensic chain (IoTFC), capitalizes on the decentralized nature of blockchain technology to address the integrity and provenance challenges of evidence collection across jurisdictional boundaries. By leveraging blockchain's features, IoTFC ensures authenticity, immutability, traceability, resilience, and distributed trust among involved parties. The framework enhances transparency through recorded chains of blocks, covering evidence identification, preservation, analysis, and presentation. This project also presents a secured communication scheme using Blockchain for defense applications, providing privacy through message signing with corresponding private keys.

Downloads

Download data is not yet available.

References

Zhang, Y., Xu, C., Yu, S., Li, H., & Zhang, X. (2015). SCLPV: Secure certificateless public verification for cloud-based cyber-physical-social systems against malicious auditors. IEEE Transactions on Computational Social Systems, 2(4), 159-170..

Agamy, A., Ali, A. M., & Mohamed, A. M. (2020). Performance analysis of WiFi networks based on sporadic traffic model using NS3. International Journal of Mobile Network Design and Innovation, 10(1), 1-9...

Yu, B., Zhou, J., & Hu, S. (2020). Cyber-physical systems: An overview. Big data analytics for cyber-physical systems, 1-11..

Dudani, S., Baggili, I., Raymond, D., & Marchany, R. (2023). The current state of cryptocurrency forensics. Forensic Science International: Digital Investigation, 46, 301576.

Bagaa, M., Taleb, T., Bernabe, J. B., & Skarmeta, A. (2020). A machine learning security framework for iot systems. IEEE Access, 8, 114066-114077.

Li, S., Zhao, S., Yang, P., Andriotis, P., Xu, L., & Sun, Q. (2019). Distributed consensus algorithm for events detection in cyber-physical systems. IEEE Internet of Things Journal, 6(2), 2299-2308.

Hossain, M., Karim, Y., & Hasan, R. (2018, July). FIF-IoT: A forensic investigation framework for IoT using a public digital ledger. In 2018 IEEE International Congress on Internet of Things (ICIOT) (pp. 33-40). IEEE.

Zhang, Y., Wu, S., Jin, B., & Du, J. (2017, December). A blockchain-based process provenance for cloud forensics. In 2017 3rd IEEE international conference on computer and communications (ICCC) (pp. 2470-2473). IEEE.

Ryu, J. H., Sharma, P. K., Jo, J. H., & Park, J. H. (2019). A blockchain-based decentralized efficient investigation framework for IoT digital forensics. The Journal of Supercomputing, 75, 4372-4387.

Marchesi, M., Marchesi, L., & Tonelli, R. (2018, October). An agile software engineering method to design blockchain applications. In Proceedings of the 14th Central and Eastern European Software Engineering Conference Russia (pp. 1-8).

Rocha, H., & Ducasse, S. (2018, May). Preliminary steps towards modeling blockchain oriented software. In Proceedings of the 1st International Workshop on Emerging Trends in Software Engineering for Blockchain (pp. 52-57).

Kombe, C., Manyilizu, M., & Mvuma, A. (2017). Design of land administration and title registration model based on blockchain technology.

Downloads

Published

26.03.2024

How to Cite

Ajay Agarwal, V. K. U. (2024). Digital Forensics Investigation Framework Based on the Blockchain, IOT, and Social Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1179–1182. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/5548

Issue

Vol. 12 No. 21s (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.