151 citations · 195 across the 20 of their papers we have counts for
6 papers · 1 filter
Adversarial Augmentation and Active Sampling for Robust Cyber Anomaly Detection
Sidahmed Benabderrahmane, Talal Rahwan
Advanced Persistent Threats (APTs) present a considerable challenge to cybersecurity due to their stealthy, long-duration nature. Traditional supervised learning methods typically…
Attackers Strike Back? Not Anymore -- An Ensemble of RL Defenders Awakens for APT Detection
Sidahmed Benabderrahmane, Talal Rahwan
Advanced Persistent Threats (APTs) represent a growing menace to modern digital infrastructure. Unlike traditional cyberattacks, APTs are stealthy, adaptive, and long-lasting, ofte…
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…
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data
Sidahmed Benabderrahmane, Ngoc Hoang, Petko Valtchev +2
Advanced Persistent Threats (APTs) are sophisticated, targeted cyberattacks designed to gain unauthorized access to systems and remain undetected for extended periods. To evade det…
A Rule Mining-Based Advanced Persistent Threats Detection System
Sidahmed Benabderrahmane, Ghita Berrada, James Cheney +1
Advanced persistent threats (APT) are stealthy cyber-attacks that are aimed at stealing valuable information from target organizations and tend to extend in time. Blocking all APTs…
A baseline for unsupervised advanced persistent threat detection in system-level provenance
Ghita Berrada, Sidahmed Benabderrahmane, James Cheney +4
Advanced persistent threats (APT) are stealthy, sophisticated, and unpredictable cyberattacks that can steal intellectual property, damage critical infrastructure, or cause million…