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Article

Proactive Forensics in IoT: Privacy-Aware Log-Preservation Architecture in Fog-Enabled-Cloud Using Holochain and Containerization Technologies

1
Department of Computer Science, COMSATS University Islamabad, Islamabad Campus, Islamabad 45000, Pakistan
2
Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia
3
Warwick Manufacturing Group, University of Warwick, Coventry CV4 7AL, UK
4
Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan
*
Authors to whom correspondence should be addressed.
Electronics 2020, 9(7), 1172; https://doi.org/10.3390/electronics9071172
Received: 23 May 2020 / Revised: 21 June 2020 / Accepted: 16 July 2020 / Published: 19 July 2020
(This article belongs to the Special Issue Cyber Security for Internet of Things)
Collecting and preserving the smart environment logs connected to cloud storage is challenging due to the black-box nature and the multi-tenant cloud models which can pervade log secrecy and privacy. The existing work for log secrecy and confidentiality depends on cloud-assisted models, but these models are prone to multi-stakeholder collusion problems. This study proposes ’PLAF,’ a holistic and automated architecture for proactive forensics in the Internet of Things (IoT) that considers the security and privacy-aware distributed edge node log preservation by tackling the multi-stakeholder issue in a fog enabled cloud. We have developed a test-bed to implement the specification, as mentioned earlier, by incorporating many state-of-the-art technologies in one place. We used Holochain to preserve log integrity, provenance, log verifiability, trust admissibility, and ownership non-repudiation. We introduced the privacy preservation automation of log probing via non-malicious command and control botnets in the container environment. For continuous and robust integration of IoT microservices, we used docker containerization technology. For secure storage and session establishment for logs validation, Paillier Homomorphic Encryption, and SSL with Curve25519 is used respectively. We performed the security and performance analysis of the proposed PLAF architecture and showed that, in stress conditions, the automatic log harvesting running in containers gives a 95% confidence interval. Moreover, we show that log preservation via Holochain can be performed on ARM-Based architectures such as Raspberry Pi in a very less amount of time when compared with RSA and blockchain. View Full-Text
Keywords: cloud computing; fog computing; docker containers; Holochain; privacy preservation; log security; proactive forensics cloud computing; fog computing; docker containers; Holochain; privacy preservation; log security; proactive forensics
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MDPI and ACS Style

Janjua, K.; Shah, M.A.; Almogren, A.; Khattak, H.A.; Maple, C.; Din, I.U. Proactive Forensics in IoT: Privacy-Aware Log-Preservation Architecture in Fog-Enabled-Cloud Using Holochain and Containerization Technologies. Electronics 2020, 9, 1172. https://doi.org/10.3390/electronics9071172

AMA Style

Janjua K, Shah MA, Almogren A, Khattak HA, Maple C, Din IU. Proactive Forensics in IoT: Privacy-Aware Log-Preservation Architecture in Fog-Enabled-Cloud Using Holochain and Containerization Technologies. Electronics. 2020; 9(7):1172. https://doi.org/10.3390/electronics9071172

Chicago/Turabian Style

Janjua, Kanwal, Munam A. Shah, Ahmad Almogren, Hasan A. Khattak, Carsten Maple, and Ikram U. Din 2020. "Proactive Forensics in IoT: Privacy-Aware Log-Preservation Architecture in Fog-Enabled-Cloud Using Holochain and Containerization Technologies" Electronics 9, no. 7: 1172. https://doi.org/10.3390/electronics9071172

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