37 citations · 38 across the 5 of their papers we have counts for
5 papers
IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
Yuchen Zhang, Ning Xi, Pengbin Feng +5
Industrial Internet systems face increasing threats from sophisticated industrial control system (ICS) attacks, resulting in critical safety incidents. However, existing tools exhi…
MirGuard: Towards a Robust Provenance-based Intrusion Detection System Against Graph Manipulation Attacks
Anyuan Sang, Lu Zhou, Li Yang +4
Learning-based Provenance-based Intrusion Detection Systems (PIDSes) have become essential tools for anomaly detection in host systems due to their ability to capture rich contextu…
BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning
Xu He, Shu Wang, Pengbin Feng +4
A timely software update is vital to combat the increasing security vulnerabilities. However, some software vendors may secretly patch their vulnerabilities without creating CVE en…
PatchRNN: A Deep Learning-Based System for Security Patch Identification
Xinda Wang, Shu Wang, Pengbin Feng +4
With the increasing usage of open-source software (OSS) components, vulnerabilities embedded within them are propagated to a huge number of underlying applications. In practice, th…
Information flow based defensive chain for data leakage detection and prevention: a survey
Ning Xi, Chao Chen, Jun Zhang +4
Mobile and IoT applications have greatly enriched our daily life by providing convenient and intelligent services. However, these smart applications have been a prime target of adv…