A proposed Crypto-Ransomware Early Detection(CRED) Model using an Integrated Deep Learning and Vector Space Model Approach. - Abdullah Alqahtani 003; Mazen Gazzan; Frederick T. Sheldon (CCWC, 2020)

Key Factors Influencing the Rise of Current Ransomware Attacks on Industrial Control Systems. - Mazen Gazzan; Abdullah Alqahtani 003; Frederick T. Sheldon (CCWC, 2021)

An Enhanced Minimax Loss Function Technique in Generative Adversarial Network for Ransomware Behavior Prediction. - Mazen Gazzan; Frederick T. Sheldon (Future Internet, 2023)

Opportunities for Early Detection and Prediction of Ransomware Attacks against Industrial Control Systems. - Mazen Gazzan; Frederick T. Sheldon (Future Internet, 2023)

An Incremental Mutual Information-Selection Technique for Early Ransomware Detection. - Mazen Gazzan; Frederick T. Sheldon (Inf., 2024)

Novel Ransomware Detection Exploiting Uncertainty and Calibration Quality Measures Using Deep Learning. - Mazen Gazzan; Frederick T. Sheldon (Inf., 2024)