A novel intrusion detection framework for Wireless Sensor Networks. - Murad A. Rassam; Mohd Aizaini Maarof; Anazida Binti Zainal (IAS, 2011)

One-Class Principal Component Classifier for anomaly detection in wireless sensor network. - Murad A. Rassam; Anazida Binti Zainal; Mohd Aizaini Maarof (CASoN, 2012)

An adaptive and efficient dimension reduction model for multivariate wireless sensor networks applications. - Murad A. Rassam; Anazida Binti Zainal; Mohd Aizaini Maarof (Appl. Soft Comput., 2013)

Advancements of Data Anomaly Detection Research in Wireless Sensor Networks: A Survey and Open Issues. - Murad A. Rassam; Anazida Binti Zainal; Mohd Aizaini Maarof (Sensors, 2013)

Adaptive and online data anomaly detection for wireless sensor systems. - Murad A. Rassam; Mohd Aizaini Maarof; Anazida Binti Zainal (Knowl. Based Syst., 2014)

Principal component analysis-based data reduction model for wireless sensor networks. - Murad A. Rassam; Anazida Binti Zainal; Mohd Aizaini Maarof (Int. J. Ad Hoc Ubiquitous Comput., 2015)

Mobility information estimation algorithm using Kalman-filter for vehicular ad hoc networks. - Fuad A. Ghaleb; Anazida Binti Zainal; Murad A. Rassam (Int. J. Inf. Comput. Secur., 2016)

Improved vehicle positioning algorithm using enhanced innovation-based adaptive Kalman filter. - Fuad A. Ghaleb; Anazida Binti Zainal; Murad A. Rassam; Ajith Abraham (Pervasive Mob. Comput., 2017)

A distributed anomaly detection model for wireless sensor networks based on the one-class principal component classifier. - Murad A. Rassam; Mohd Aizaini Maarof; Anazida Binti Zainal (Int. J. Sens. Networks, 2018)

Driving-situation-aware adaptive broadcasting rate scheme for vehicular ad hoc network. - Fuad A. Ghaleb; Anazida Binti Zainal; Murad A. Rassam; Faisal Saeed (J. Intell. Fuzzy Syst., 2018)

Utilization of Millimeter-Wave Spectrum in Wireless Networks. - Redhwan Qasem Shaddad; Ahmed Mohammed Al-Samman; Murad A. Rassam (Wirel. Commun. Mob. Comput., 2018)

A Voice Morphing Model Based on the Gaussian Mixture Model and Generative Topographic Mapping. - Murad A. Rassam; Rasha Almekhlafi; Eman Alosaily; Haneen Hassan; Reem Hassan; Eman Saeed; Elham Alqershi (IRICT, 2019)

Context-aware data-centric misbehaviour detection scheme for vehicular ad hoc networks using sequential analysis of the temporal and spatial correlation of the consistency between the cooperative awareness messages. - Fuad A. Ghaleb; Mohd Aizaini Maarof; Anazida Binti Zainal; Murad A. Rassam; Faisal Saeed; Mohammed Alsaedi (Veh. Commun., 2019)

Deep Kalman Neuro Fuzzy-Based Adaptive Broadcasting Scheme for Vehicular Ad Hoc Network: A Context-Aware Approach. - Fuad A. Ghaleb; Bander Ali Saleh Al-rimy; Abdulmohsen Almalawi; Abdullah Marish Ali; Anazida Binti Zainal; Murad A. Rassam; Syed Zainudeen Mohd Shaid; Mohd Aizaini Maarof (IEEE Access, 2020)

LEACH-CR: Energy Saving Hierarchical Network Protocol Based on Low-Energy Adaptive Clustering Hierarchy for Wireless Sensor Networks. - Nurfazrina Mohd Zamry; Anazida Binti Zainal; Murad A. Rassam (CRC, 2021)

Lightweight Anomaly Detection Scheme Using Incremental Principal Component Analysis and Support Vector Machine. - Nurfazrina Mohd Zamry; Anazida Binti Zainal; Murad A. Rassam; Eman H. Alkhammash; Fuad A. Ghaleb; Faisal Saeed (Sensors, 2021)

A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network. - Albatul Albattah; Murad A. Rassam (Sensors, 2022)

A Trust Management Model for IoT Devices and Services Based on the Multi-Criteria Decision-Making Approach and Deep Long Short-Term Memory Technique. - Yara Alghofaili; Murad A. Rassam (Sensors, 2022)

A Dynamic Trust-Related Attack Detection Model for IoT Devices and Services Based on the Deep Long Short-Term Memory Technique. - Yara Alghofaili; Murad A. Rassam (Sensors, 2023)

Adversarial Machine Learning Attacks against Intrusion Detection Systems: A Survey on Strategies and Defense. - Afnan Alotaibi; Murad A. Rassam (Future Internet, 2023)

Countering Social Media Cybercrime Using Deep Learning: Instagram Fake Accounts Detection. - Najla Alharbi; Bashayer Alkalifah; Ghaida Alqarawi; Murad A. Rassam (Future Internet, 2024)