A filter-based feature selection model for anomaly-based intrusion detection systems. - Imtiaz Ullah; Qusay H. Mahmoud (IEEE BigData, 2017)

A hybrid model for anomaly-based intrusion detection in SCADA networks. - Imtiaz Ullah; Qusay H. Mahmoud (IEEE BigData, 2017)

An intrusion detection framework for the smart grid. - Imtiaz Ullah; Qusay H. Mahmoud (CCECE, 2017)

A Two-Level Hybrid Model for Anomalous Activity Detection in IoT Networks. - Imtiaz Ullah; Qusay H. Mahmoud (CCNC, 2019)

A Scheme for Generating a Dataset for Anomalous Activity Detection in IoT Networks. - Imtiaz Ullah; Qusay H. Mahmoud (Canadian AI, 2020)

A Technique for Generating a Botnet Dataset for Anomalous Activity Detection in IoT Networks. - Imtiaz Ullah; Qusay H. Mahmoud (SMC, 2020)

Network Traffic Flow Based Machine Learning Technique for IoT Device Identification. - Imtiaz Ullah; Qusay H. Mahmoud (SysCon, 2021)

Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks. - Imtiaz Ullah; Qusay H. Mahmoud (IEEE Access, 2021)

A Framework for Anomaly Detection in IoT Networks Using Conditional Generative Adversarial Networks. - Imtiaz Ullah; Qusay H. Mahmoud (IEEE Access, 2021)

An Anomaly Detection Model for IoT Networks based on Flow and Flag Features using a Feed-Forward Neural Network. - Imtiaz Ullah; Qusay H. Mahmoud (CCNC, 2022)

Design and Development of RNN Anomaly Detection Model for IoT Networks. - Imtiaz Ullah; Qusay H. Mahmoud (IEEE Access, 2022)