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NDSS2020顶会

Custos: Practical Tamper-Evident Auditing of Operating Systems Using Trusted Execution

Riccardo Paccagnella, Pubali Datta, Wajih Ul Hassan, Adam Bates, Christopher W. Fletcher, Andrew Miller, Dave Tian

出版方
2020年份
38顶会引用

摘要

—System auditing is a central concern when investigating and responding to security incidents. Unfortunately, attackers regularly engage in anti-forensic activities after a break-in, covering their tracks from the system logs in order to frustrate the efforts of investigators. While a variety of tamper-evident logging solutions have appeared throughout the industry and the literature, these techniques do not meet the operational and scalability requirements of system-layer audit frameworks. In this work, we introduce C USTOS , a practical framework for the detection of tampering in system logs. C USTOS consists of a tamper-evident logging layer and a decentralized auditing protocol. The former enables the verification of log integrity with minimal changes to the underlying logging framework, while the latter enables near real-time detection of log integrity violations within an enterprise-class network. C USTOS is made practical by the observation that we can decouple the costs of cryptographic log commitments from the act of creating and storing log events, without trading off security, leveraging features of off-the-shelf trusted execution environments. Supporting over one million events per second, we show that C USTOS ’ tamper-evident logging protocol is three orders of magnitude (1000 × ) faster than prior solutions and incurs only between 2% and 7% runtime overhead over insecure logging on intensive workloads. Further, we show that C USTOS ’ auditing protocol can detect violations in near real-time even in the presence of a powerful distributed adversary and with minimal (3%) network overhead. Our case study on a real-world APT attack scenario demonstrates that C USTOS forces anti-forensic attackers into a “lose-lose” situation, where they can either be covert and not tamper with logs (which can be used for forensics), or erase logs but then

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