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S3 Lab - Software & Systems Security Laboratory The University of Texas at Dallas

Accurate, Low Cost and Instrumentation-Free Security Audit Logging for Windows

Shiqing Ma, Kyu Hyung Lee, Chung Hwan Kim, Junghwan Rhee, Xiangyu Zhang, and Dongyan Xu

Proceedings of the 31st Annual Computer Security Applications Conference (ACSAC) 2015.

DOI: 10.1145/2818000.2818039

areas
Security, Operating Systems, Program Analysis

abstract

Audit logging is an important approach to cyber attack investigation. However, traditional audit logging either lacks accuracy or requires expensive and complex binary instrumentation. In this paper, we propose a Windows based audit logging technique that features accuracy and low cost. More importantly, it does not require instrumenting the applications, which is critical for commercial software with IP protection. The technique is built on Event Tracing for Windows (ETW). By analyzing ETW log and critical parts of application executables, a model can be constructed to parse ETW log to units representing independent sub-executions in a process. Causality inferred at the unit level renders much higher accuracy, allowing us to perform accurate attack investigation and highly effective log reduction.

related project

CLUE CLUE

The CLUE project develops an infrastructure to detect and diagnose system anomalies in enterprise and cloud systems. These anomalies include stealthy malware and other types of hidden system anomalies. CLUE provides a diverse set of tools to find and understand such anomalies with minimal disruption to the target system.