CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for Cloud Forensics

Ahsan, M. A. Manazir, Wahab, Ainuddin Wahid Abdul, Idris, Mohd. Yamani Idna, Khan, Suleman, Bachura, Eric and Choo, Kim-Kwang Raymond (2018) CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for Cloud Forensics. IEEE Transactions on Sustainable Computing. ISSN 2377-3790 (In Press)

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Official URL: https://doi.org/10.1109/TSUSC.2018.2833502

Abstract

User activity logs can be a valuable source of information in cloud forensic investigations; hence, ensuring the reliability and integrity of such logs is crucial. Most existing solutions for secure logging are designed for conventional systems rather than the complexity of a cloud environment. In this paper, we propose the Cloud Log Assuring Soundness and Secrecy (CLASS) process as an alternative scheme for the securing of logs in a cloud environment. In CLASS, logs are encrypted using the individual user's public key so that only the user is able to decrypt the content. In order to prevent unauthorized modification of the log, we generate proof of past log (PPL) using Rabin's fingerprint and Bloom filter. Such an approach reduces verification time significantly. Findings from our experiments deploying CLASS in OpenStack demonstrate the utility of CLASS in a real-world context.

Item Type: Article
Uncontrolled Keywords: Cloud forensics, Cloud log, Cloud log assuring soundness and secrecy, Cloud security, Proof of past log, Sustainable computing
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 31 Jul 2019 11:40
Last Modified: 10 Oct 2019 16:15
URI: http://nrl.northumbria.ac.uk/id/eprint/40220

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