CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics

Ahsan, M. A. Manazir and Abdul Wahab, Ainuddin Wahid and Idris, Mohd Yamani Idna and Khan, Suleman and Bachura, Eric and Choo, Kim-Kwang Raymond (2021) CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics. IEEE Transactions on Sustainable Computing, 6 (2). pp. 184-196. ISSN 2377-3790, DOI https://doi.org/10.1109/TSUSC.2018.2833502.

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

Abstract

ser 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
Funders: UNSPECIFIED
Uncontrolled Keywords: Cloud computing; Forensics; Servers; Privacy; Public key; Cloud forensics; Cloud log; Cloud log assuring soundness and secrecy; Cloud security; Proof of past log; Sustainable computing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 21 Feb 2022 08:05
Last Modified: 21 Feb 2022 08:05
URI: http://eprints.um.edu.my/id/eprint/26306

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