4 papers
ProHunter: A Comprehensive APT Hunting System Based on Whole-System Provenance
Xuebo Qiu, Mingqi Lv, Yimei Zhang +2
Advanced Persistent Threats (APTs) remain difficult to detect due to their stealthy nature and long-term persistence. To tackle this challenge, provenance-based threat hunting has…
APT-CGLP: Advanced Persistent Threat Hunting via Contrastive Graph-Language Pre-Training
Xuebo Qiu, Mingqi Lv, Yimei Zhang +4
Provenance-based threat hunting identifies Advanced Persistent Threats (APTs) on endpoints by correlating attack patterns described in Cyber Threat Intelligence (CTI) with provenan…
Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision
Yimei Zhang, Guojiang Shen, Kaili Ning +4
Region representation learning plays a pivotal role in urban computing by extracting meaningful features from unlabeled urban data. Analogous to how perceived facial age reflects a…
TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning
Mingqi Lv, HongZhe Gao, Xuebo Qiu +4
APT (Advanced Persistent Threat) with the characteristics of persistence, stealth, and diversity is one of the greatest threats against cyber-infrastructure. As a countermeasure, e…