← authors · overview

• RansomAI: AI-powered Ransomware for Stealthy Encryption
  2023 · 6 citations
• Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors
  2022 · 5 citations
• CyberSpec: Intelligent Behavioral Fingerprinting to Detect Attacks on Crowdsensing Spectrum Sensors
  2022 · 4 citations
• RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoT
  2022 · 2 citations
• Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification
  2022 · 2 citations
• Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls
  2024 · 2 citations
• A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets
  2020
• Federated Learning for Malware Detection in IoT Devices
  2021
• Robust Federated Learning for execution time-based device model identification under label-flipping attack
  2021