作者
Hassaan Irshad, Gabriela Ciocarlie, Ashish Gehani, Vinod Yegneswaran, Kyu Hyung Lee, Jignesh Patel, Somesh Jha, Yonghwi Kwon, Dongyan Xu, Xiangyu Zhang
发表日期
2021/7/21
期刊
IEEE Transactions on Information Forensics and Security
卷号
16
页码范围
4363-4376
出版商
IEEE
简介
We present TRACE, a comprehensive provenance tracking system for scalable, real-time, enterprise-wide APT detection. TRACE uses static analysis to identify program unit structures and inter-unit dependences, such that the provenance of an output event includes the input events within the same unit. Provenance collected from individual hosts are integrated to facilitate construction of a distributed enterprise-wide causal graph. We describe the evolution of TRACE over a four-year period, during which our improvements to the system focused on performance, scalability, and fidelity. In this time span, the system call coverage increased (from 47 to 66) while the time and space overhead reduced by over one and two orders of magnitude, respectively. We also provide results from five adversarial engagements where an independent team of system evaluators conducted APT attacks and assessed system …
引用总数
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H Irshad, G Ciocarlie, A Gehani, V Yegneswaran… - IEEE Transactions on Information Forensics and …, 2021