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20202026
most citedThreat Detection and Investigation with System-level Provenance Graphs: A Survey

8 citations · 10 across the 13 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CR2024★ 1 cited

PentestAgent: Incorporating LLM Agents to Automated Penetration Testing

Xiangmin Shen, Lingzhi Wang, Zhenyuan Li +5

Penetration testing is a critical technique for identifying security vulnerabilities, traditionally performed manually by skilled security specialists. This complex process involve…

cs.CR2024★ 1 cited

From Sands to Mansions: Towards Automated Cyberattack Emulation with Classical Planning and Large Language Models

Lingzhi Wang, Zhenyuan Li, Yi Jiang +4

Evolving attacker capabilities demand realistic and continuously updated cyberattack emulation for threat-informed defense and security benchmarking. Towards automated attack emula…

cs.CR2024

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection

Lingzhi Wang, Xiangmin Shen, Weijian Li +4

As cyber attacks grow increasingly sophisticated and stealthy, it becomes more imperative and challenging to detect intrusion from normal behaviors. Through fine-grained causality…

cs.CR2024

Marlin: Knowledge-Driven Analysis of Provenance Graphs for Efficient and Robust Detection of Cyber Attacks

Zhenyuan Li, Yangyang Wei, Xiangmin Shen +9

Recent research in both academia and industry has validated the effectiveness of provenance graph-based detection for advanced cyber attack detection and investigation. However, an…

cs.CR2024

Decoding the MITRE Engenuity ATT&CK Enterprise Evaluation: An Analysis of EDR Performance in Real-World Environments

Xiangmin Shen, Zhenyuan Li, Graham Burleigh +2

Endpoint detection and response (EDR) systems have emerged as a critical component of enterprise security solutions, effectively combating endpoint threats like APT attacks with ex…