activity
20192026
most citedGraph Mining for Cybersecurity: A Survey

31 citations · 34 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

MalSkillBench: A Runtime-Verified Benchmark of Malicious Agent Skills

Wenbo Guo, Wei Zeng, Chengwei Liu +5

AI coding agents such as Claude Code and Gemini CLI increasingly extend themselves with third-party skills: markdown packages bundling natural-language instructions, executable scr…

cs.AI2025

The Agent Behavior: Model, Governance and Challenges in the AI Digital Age

Qiang Zhang, Pei Yan, Yijia Xu +3

Advancements in AI have led to agents in networked environments increasingly mirroring human behavior, thereby blurring the boundary between artificial and human actors in specific…

cs.CR2024

SpearBot: Leveraging Large Language Models in a Generative-Critique Framework for Spear-Phishing Email Generation

Qinglin Qi, Yun Luo, Yijia Xu +2

Large Language Models (LLMs) are increasingly capable, aiding in tasks such as content generation, yet they also pose risks, particularly in generating harmful spear-phishing email…

cs.SE2023★ 3 cited

An Empirical Study of Malicious Code In PyPI Ecosystem

Wenbo Guo, Zhengzi Xu, Chengwei Liu +3

PyPI provides a convenient and accessible package management platform to developers, enabling them to quickly implement specific functions and improve work efficiency. However, the…

cs.CR2023★ 31 cited

Graph Mining for Cybersecurity: A Survey

Bo Yan, Cheng Yang, Chuan Shi +4

The explosive growth of cyber attacks nowadays, such as malware, spam, and intrusions, caused severe consequences on society. Securing cyberspace has become an utmost concern for o…

cs.CY2019

Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with Machine learning

Luping Liu, Xiaohai He, Liang Liu +3

Abstract-Email cyber-attacks based on malicious documents have become the popular techniques in today's sophisticated attacks. In the past, persistent efforts have been made to det…