Varun Gandhi, Harvard University; Sarbartha Banerjee, University of Texas at Austin; Aniket Agrawal and Adil Ahmad, Arizona State University; Sangho Lee and Marcus Peinado, Microsoft Research
Once an attacker compromises the operating system, the integrity and availability of unprotected system audit logs still kept on the computer becomes uncertain. In this paper, we ask the question: can recently proposed audit systems aimed at tackling such an attacker provide enough information for forensic analysis? Our findings suggest that the answer is no, because the inefficient logging pipelines of existing audit systems prohibit generating log entries for a vast majority of attack events and protecting logs as soon as they are created (i.e., synchronously). This leads to a low attack event coverage within generated logs, while allowing attackers to tamper with unprotected logs after a compromise. To counter these limitations, we present OMNILOG, a system audit architecture that composes an end-to-end efficient logging pipeline where logs are rapidly generated and protected using a set of platform-agnostic security abstractions. This allows OMNILOG to enable high attack event coverage and synchronous log availability, while even outperforming the state-of-the-art audit systems that achieve neither property.
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author = {Varun Gandhi and Sarbartha Banerjee and Aniket Agrawal and Adil Ahmad and Sangho Lee and Marcus Peinado},
title = {Rethinking System Audit Architectures for High Event Coverage and Synchronous Log Availability},
booktitle = {32nd USENIX Security Symposium (USENIX Security 23)},
year = {2023},
isbn = {978-1-939133-37-3},
address = {Anaheim, CA},
pages = {391--408},
url = {https://www.usenix.org/conference/usenixsecurity23/presentation/gandhi},
publisher = {USENIX Association},
month = aug
}