Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools
Feng Dong, Shaofei Li, Peng Jiang, Ding Li, Haoyu Wang, Liangyi Huang,, Xusheng Xiao, Jiedong Chen, Xiapu Luo, Yao Guo, Xiangqun Chen

TL;DR
This study evaluates the industry perspective on Provenance-Based Endpoint Detection and Response systems, highlighting their effectiveness, concerns, and gaps between academic research and industrial needs through comprehensive surveys and measurements.
Contribution
First systematic study analyzing industry views on P-EDR systems, identifying key effectiveness factors and gaps hindering adoption.
Findings
P-EDR systems are considered more effective than traditional EDR by industry experts.
Industry concerns include high operating costs of P-EDR systems.
Major gaps include client-side overhead, alarm triage imbalance, and server-side memory usage.
Abstract
Provenance-Based Endpoint Detection and Response (P-EDR) systems are deemed crucial for future APT defenses. Despite the fact that numerous new techniques to improve P-EDR systems have been proposed in academia, it is still unclear whether the industry will adopt P-EDR systems and what improvements the industry desires for P-EDR systems. To this end, we conduct the first set of systematic studies on the effectiveness and the limitations of P-EDR systems. Our study consists of four components: a one-to-one interview, an online questionnaire study, a survey of the relevant literature, and a systematic measurement study. Our research indicates that all industry experts consider P-EDR systems to be more effective than conventional Endpoint Detection and Response (EDR) systems. However, industry experts are concerned about the operating cost of P-EDR systems. In addition, our research…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInformation and Cyber Security · Advanced Malware Detection Techniques · Security and Verification in Computing
