3 papers
cs.LG2026
A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport
Sidahmed Benabderrahmanea, Petko Valtchev, James Cheney +1
Advanced Persistent Threats (APTs) are stealthy, multi-stage cyberattacks whose detection is difficult due to scarce labeled traces, severe class imbalance, and the challenge of ge…
cs.LG2026
Refining Decision Boundaries In Anomaly Detection Using Similarity Search Within the Feature Space
Sidahmed Benabderrahmane, Petko Valtchev, James Cheney +1
Detecting rare and diverse anomalies in highly imbalanced datasets-such as Advanced Persistent Threats (APTs) in cybersecurity-remains a fundamental challenge for machine learning…
cs.CR2025
APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models
Sidahmed Benabderrahmane, Petko Valtchev, James Cheney +1
Advanced Persistent Threats (APTs) pose a major cybersecurity challenge due to their stealth and ability to mimic normal system behavior, making detection particularly difficult in…