CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics
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 th...
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my.um.eprints.263062022-02-21T08:05:12Z http://eprints.um.edu.my/26306/ CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics Ahsan, M. A. Manazir Abdul Wahab, Ainuddin Wahid Idris, Mohd Yamani Idna Khan, Suleman Bachura, Eric Choo, Kim-Kwang Raymond QA75 Electronic computers. Computer science 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. 2021-06 Article PeerReviewed 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 <https://doi.org/10.1109/TSUSC.2018.2833502>. https://doi.org/10.1109/TSUSC.2018.2833502 doi:10.1109/TSUSC.2018.2833502 |
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QA75 Electronic computers. Computer science Ahsan, M. A. Manazir Abdul Wahab, Ainuddin Wahid Idris, Mohd Yamani Idna Khan, Suleman Bachura, Eric Choo, Kim-Kwang Raymond CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics |
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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. |
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Article |
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Ahsan, M. A. Manazir Abdul Wahab, Ainuddin Wahid Idris, Mohd Yamani Idna Khan, Suleman Bachura, Eric Choo, Kim-Kwang Raymond |
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Ahsan, M. A. Manazir Abdul Wahab, Ainuddin Wahid Idris, Mohd Yamani Idna Khan, Suleman Bachura, Eric Choo, Kim-Kwang Raymond |
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Ahsan, M. A. Manazir |
title |
CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics |
title_short |
CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics |
title_full |
CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics |
title_fullStr |
CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics |
title_full_unstemmed |
CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for cloud forensics |
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class: cloud log assuring soundness and secrecy scheme for cloud forensics |
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2021 |
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http://eprints.um.edu.my/26306/ https://doi.org/10.1109/TSUSC.2018.2833502 |
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