2 citations · 3 across the 12 of their papers we have counts for
8 papers · 1 filter
One Pipeline Does Not Fit All: TAILOR, a Type- and State-Aware Framework for CVE Reproduction
Ji He, Huang Zhang, Lijie Zheng +2
Growing vulnerability disclosure and widespread software reuse increase security teams' need for reproducible evidence to diagnose vulnerabilities, validate patches, and build regr…
Know the Normal, Track the Attack: Context-Grounded and Stateful LLM Investigation over System Provenance
Lijie Zheng, Ji He, Ying Wang +2
Provenance-based intrusion detection systems (PIDSs) identify suspicious activity in audit streams, but their outputs remain difficult to turn into coherent attack narratives. Dire…
Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection
Lijie Zheng, Ji He, Zhiwei Zhang +3
Provenance-Based Intrusion Detection Systems (PIDSs) detect Advanced Persistent Threats (APTs) by analyzing system interactions. However, existing methods largely treat relations u…
CT-OpenMax: A Novel Open-Set WiFi RF Fingerprinting Method via Center Constrained Learning and Confidence-Guided Tail Modeling
Yuanyu Zhang, Junjie Yang, Ji He +3
Radio frequency fingerprinting (RFF) enables device authentication from transmitter-specific hardware imperfections, but practical deployment requires cross-environment open-set re…
IriSig-Spoof: A Real-World Benchmark for Time-Robust Satellite RF Fingerprinting and Spoofing Detection
Shichang Guo, Yuanyu Zhang, Shuangrui Zhao +3
Low Earth orbit (LEO) satellite Internet is becoming critical communications infrastructure, yet its open wireless links remain vulnerable to satellite impersonation and signal spo…
GalSAS-SDR-SIM: An End-to-End Simulation Platform for Galileo Signal Authentication Service
Haiyang Wang, Yuanyu Zhang, Wensen Du +3
Galileo is developing a Signal Authentication Service (SAS) that integrates Open Service Navigation Message Authentication (OSNMA) on the E1 band with Spreading Code Authentication…
GLST: Defending Confidence-Driven V2X Collaborative Perception Against Stealthy Multi-Attacker Feature Injection
Ji He, Ying Wang, Lijie Zheng +3
Collaborative perception (CP) improves autonomous-driving perception by enabling connected vehicles to exchange intermediate features via V2X. Confidence-driven sparse communicatio…
PASS-Enabled Covert Communications With Distributed Cooperative Wardens
Ji He
This paper investigates PASS-enabled downlink covert communication in the presence of distributed surveillance, where multiple wardens perform signal detection and fuse their local…