6 papers
Logic-Driven Cybersecurity: A Novel Framework for System Log Anomaly Detection using Answer Set Programming
Fang Li, Fei Zuo, Gopal Gupta
This study explores the application of Answer Set Programming (ASP) for detecting anomalies in system logs, addressing the challenges posed by evolving cyber threats. We propose a…
AndroidControl-Curated: Revealing the True Potential of GUI Agents through Benchmark Purification
Ho Fai Leung, Xiaoyan Xi, Fei Zuo
On-device virtual assistants like Siri and Google Assistant are increasingly pivotal, yet their capabilities are hamstrung by a reliance on rigid, developer-dependent APIs. GUI age…
Few-Shot Learning-Based Cyber Incident Detection with Augmented Context Intelligence
Fei Zuo, Junghwan Rhee, Yung Ryn Choe +2
In recent years, the adoption of cloud services has been expanding at an unprecedented rate. As more and more organizations migrate or deploy their businesses to the cloud, a multi…
Knowledge Transfer from LLMs to Provenance Analysis: A Semantic-Augmented Method for APT Detection
Fei Zuo, Junghwan Rhee, Yung Ryn Choe
Advanced Persistent Threats (APTs) have caused significant losses across a wide range of sectors, including the theft of sensitive data and harm to system integrity. As attack tech…
Exploring Answer Set Programming for Provenance Graph-Based Cyber Threat Detection: A Novel Approach
Fang Li, Fei Zuo, Gopal Gupta
Provenance graphs are useful and powerful tools for representing system-level activities in cybersecurity; however, existing approaches often struggle with complex queries and flex…
BinSimDB: Benchmark Dataset Construction for Fine-Grained Binary Code Similarity Analysis
Fei Zuo, Cody Tompkins, Qiang Zeng +3
Binary Code Similarity Analysis (BCSA) has a wide spectrum of applications, including plagiarism detection, vulnerability discovery, and malware analysis, thus drawing significant…