activity
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

collaborators

14 papers

cs.CR2026

MazeRunner: Nonlinear Task and Clue Orchestration for LLM-driven Black-Box Automated Penetration Testing

Zhenyuan Li, Yi Jiang, Junjie Cheng +3

Penetration testing is essential yet resource-intensive. Although large language models (LLMs) show promise for automating security auditing, existing agents mainly execute end-to-…

cs.CR2026

SherAgent: Scaling Attack Investigation in the Wild via LLM-Empowered Iterative Query-Filter Backtracking

Zhenyuan Li, Zhengkai Wang, Ling Jiang +5

Provenance-based attack investigation enables viable automation by standardizing data and query logic; however, it is critically hindered in practice by dependency explosions and f…

cs.CR2026

Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward Tracking

Jiahui Wang, Zhenyuan Li, Zhengkai Wang +2

Sophisticated cyber attacks, particularly Advanced Persistent Threats (APTs), require effective post-intrusion forensic analysis. Provenance-based backward tracking reconstructs at…

cs.CR2026

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies

Ruixiao Lin, Xinhao Deng, Qingming Li +12

Self-evolving LLM agent systems, which autonomously update their model parameters, memory, tools, and architectures, introduce a qualitatively new threat landscape in which adversa…

cs.CR2026

Cross-Layer Semantic Flow Reconstruction for Attack Detection in Agentic Systems

Qizhi Cai, Yangyang Wei, Zhipeng Chen +2

Agentic systems increasingly orchestrate complex, tool-using workflows within agentic execution environments, where high-level goals and tool invocations at the application layer m…

cs.CR2025

Automated Penetration Testing with LLM Agents and Classical Planning

Lingzhi Wang, Xinyi Shi, Ziyu Li +8

While penetration testing plays a vital role in cybersecurity, achieving fully automated, hands-off-the-keyboard execution remains a significant research challenge. In this paper,…

cs.CR2025

AEAS: Actionable Exploit Assessment System

Xiangmin Shen, Wenyuan Cheng, Yan Chen +6

Security practitioners face growing challenges in exploit assessment, as public vulnerability repositories are increasingly populated with inconsistent and low-quality exploit arti…

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…

cs.CR2021

AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports

Zhenyuan Li, Jun Zeng, Yan Chen +1

Cyber attacks are becoming more sophisticated and diverse, making detection increasingly challenging. To combat these attacks, security practitioners actively summarize and exchang…

cs.CR2020★ 8 cited

Threat Detection and Investigation with System-level Provenance Graphs: A Survey

Zhenyuan Li, Qi Alfred Chen, Runqing Yang +1

With the development of information technology, the border of the cyberspace gets much broader, exposing more and more vulnerabilities to attackers. Traditional mitigation-based de…