
CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for Cloud Forensics
Abstract
CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for Cloud Forensics In CLASS, logs are encrypted using the public key of the individual user, so that only the user can decrypt the content. To prevent unauthorized log modification, we use Rabin’s fingerprint and Bloom filter to generate proof of past log (PPL). Such an approach significantly reduces verification time. In a real-world context, findings from our experiments deploying CLASS in OpenStack demonstrate the utility of CLASS.
System Configuration
Conclusion
In this paper, we proposed a secure logging scheme (CLASS) for cloud computing with features that facilitate user privacy preservation and mitigate the harmful effects of collusion among other parties. CLASS preserves the privacy of cloud users by encrypting cloud logs with the respective user’s public key while also facilitating log retrieval in the event of an investigation. It also ensures the accountability of the cloud server by allowing the user to identify any log changes.