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Faculty members

Content

Inside a building, a man dressed in a traditional white uniform with a red and white Saudi shemagh wears a neutral expression as if he were taking a picture of a faculty file at Qassim University.
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Murad Abdo Rassam Qasem

Associate Professor
College of Computer
Department of Information Technology

Personal data

  • 12627
  • M.Qasem@qu.edu.sa
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    Scientific qualifications

    • PhD (Network and Information Security) - School of Computing- University of Technology Malaysia- Johor, Malaysia
    • MSc (Network Security) - School of Computing- University of Technology Malaysia (UTM) - Johor, Malaysia
    • BSc (Information Engineering- dept of Computer Networks) - Tishreen University, Lattakia, Syria
    • Diploma (Computer Engineering) - IICE- Tishreen University- Lattakia, Syria

    Research interests

    • Information Security
    • Machine Learning
    • Network Security
    • Big Data and Threat Intelligence
    • Data Mining (DM)
    • Wireless Sensor Networks

    Published research

    • A Secure, Scalable, Scholar-Authenticated Digital Hadith Storage Model Using Hyperledger Fabric and IPFS (2025-08-26)
    • EEMTL-GRU: Encoder-Enhanced Multi-Task Learning Gated Recurrent Unit for Vibrational Data-Driven Anomaly Detection (2025-08-29)
    • A Voice Morphing Model Based on the Gaussian Mixture Model and Generative Topographic Mapping (2020-01-01)
    • Deep Kalman Neuro-Fuzzy-Based Adaptive Broadcasting Scheme for Vehicular Ad Hoc Networks: A Context-Aware Approach (2020-01-01)
    • Secure Cloud Infrastructure: A Survey on Issues, Current Solutions, and Open Challenges (2021-10-01)
    • Ransomware Detection Using Dynamic Analysis and Machine Learning: A Survey and Research Directions (2022-01-01)
    • Detection of Adversarial Attacks against the Hybrid Convolutional Long Short-Term Memory Deep Learning Technique for Healthcare Monitoring Applications (2023-06-03)
    • Dynamic Extraction of Initial Behavior for Evasive Malware Detection (2023-01-01)
    • Lightweight Anomaly Detection Scheme Using Incremental Principal Component Analysis and Support Vector Machine (2021-12-01)
    • A Trust Management Model for IoT Devices and Services Based on the Multi-Criteria Decision-Making Approach and Deep Long Short-Term Memory Technique (2022-01-01)
    • A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network (2022-03-01)
    • A Dynamic Trust-Related Attack Detection Model for IoT Devices and Services Based on the Deep Long Short-Term Memory Technique (2023-04-01)
    • A Combined Text-Based and Metadata-Based Deep-Learning Framework for the Detection of Spam Accounts on the Social Media Platform Twitter (2022-03-01)
    • Enhancing the Sustainability of Deep-Learning-Based Network Intrusion Detection Classifiers Against Adversarial Attacks (2023-06-01)
    • An enhanced anomaly detection framework for wireless sensor networks (WSNs) based on a centered ellipsoidal support vector machine and lightweight data aggregation (2026-03-14)
    • Federated Learning in Edge Computing: Vulnerabilities, Attacks, and Defenses – A Survey (2026-02-15)
    • LEACH-CR: Energy Saving Hierarchical Network Protocol Based on Low-Energy Adaptive Clustering Hierarchy for Wireless Sensor Networks (2021-01-01)
    • The Role of Pre-trained Models in Diagnosing Covid-19 Using Chest X-Ray Images (2021-01-01)
    • Context-Aware Data-Centric Misbehavior Detection Scheme for Vehicular Ad Hoc Networks Using Sequential Analysis of Temporal and Spatial Correlation of Cooperative Awareness Message Consistency (2019-12-01)
    • A distributed anomaly detection model for wireless sensor networks based on the one-class principal component classifier (2018-01-01)
    • Lightweight Anomaly Detection for Wireless Sensor Networks Based on CCIPCA and One-Class SVM (2018-10-01)
    • Driving-situation-aware adaptive broadcasting rate scheme for vehicular ad hoc network (2018-01-01)
    • Two-Stage Integration of GPS, Kinematic Information, and Cooperative Awareness Messages Using Cascaded Kalman Filters (2018-01-01)
    • An Effective Misbehavior Detection Model using Artificial Neural Network for Vehicular Ad hoc Network Applications (2017-01-01)
    • Utilization of Millimeter-Wave Spectrum in Wireless Networks (2018-01-01)
    • Improved vehicle positioning algorithm using enhanced innovation-based adaptive Kalman filter (2017-09-01)
    • Selection of Soil Features for Detection of Ganoderma Using Rough Set Theory (2015-01-01)
    • Principal Component Analysis-Based Data Reduction Model for Wireless Sensor Networks (2015-01-01)
    • Adaptive and online data anomaly detection for wireless sensor systems (2014-04-01)
    • An Efficient Distributed Anomaly Detection Model for Wireless Sensor Networks (2013-01-01)
    • Advances in Data Anomaly Detection Research for Wireless Sensor Networks: A Survey and Open Issues (2013-08-01)
    • A Sinkhole Attack Detection Scheme in Mintroute Wireless Sensor Networks (2012-01-01)
    • An adaptive and efficient dimension reduction model for multivariate wireless sensor network applications (2013-04-01)
    • One-Class Principal Component Classifier for Anomaly Detection in Wireless Sensor Networks (2012-01-01)
    • Analysis of Robustness and Interpretability of Multinomial Naïve Bayes and Tiny Text CNN Models for SMS Spam Detection Under Adversarial Attacks (2026-05-01)
    • An enhanced anomaly detection framework for wireless sensor networks (WSNs) based on a centered ellipsoidal support vector machine and lightweight data aggregation (2026-04-01)
    • A Secure, Scalable, Scholar-Authenticated Digital Hadith Storage Model Using Hyperledger Fabric and IPFS (2026-03-01)
    • Federated Learning in Edge Computing: Vulnerabilities, Attacks, and Defenses—A Survey (2026-02-01)
    • Hallucination Analysis in Large Language Models for Arabic Question Answering (2026-01-31)
    • EEMTL-GRU: Encoder-Enhanced Multi-Task Learning Gated Recurrent Unit for Vibrational Data-Driven Anomaly Detection (2025-10-01)
    • A Comparative Study of Incremental and Batch Machine Learning Methodologies for Network Intrusion Detection (2025-01-01)
    • Monitoring Critical Health Conditions in the Elderly: A Deep Learning-Based Abnormal Vital Sign Detection Model (2024-12-01)
    • Autoencoder-Based Neural Network Model for Anomaly Detection in Wireless Body Area Networks (2024-12-01)
    • Countering Social Media Cybercrime Using Deep Learning: Instagram Fake Accounts Detection (2024-10-01)
    • Enhancing the Sustainability of Deep-Learning-Based Network Intrusion Detection Classifiers Against Adversarial Attacks (2023-06-01)
    • Detection of Adversarial Attacks against the Hybrid Convolutional Long Short-Term Memory Deep Learning Technique for Healthcare Monitoring Applications (2023-06-01)
    • A Dynamic Trust-Related Attack Detection Model for IoT Devices and Services Based on the Deep Long Short-Term Memory Technique (2023-04-01)
    • Adversarial Machine Learning Attacks against Intrusion Detection Systems: A Survey on Strategies and Defense (2023-02-01)
    • Isolation Forest-Based Anomaly Detection Approach for Wireless Body Area Networks (2023-01-01)
    • Dynamic Extraction of Initial Behavior for Evasive Malware Detection (2023-01-01)
    • A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network (2022-03-01)
    • A Combined Text-Based and Metadata-Based Deep-Learning Framework for the Detection of Spam Accounts on the Social Media Platform Twitter (2022-03-01)
    • Reinforcement Learning in Image Classification: A Review (2022-01-01)
    • Ransomware Detection Using Dynamic Analysis and Machine Learning: A Survey and Research Directions (2022-01-01)
    • A Trust Management Model for IoT Devices and Services Based on the Multi-Criteria Decision-Making Approach and Deep Long Short-Term Memory Technique (2022-01-01)
    • Lightweight anomaly detection scheme using incremental principal component analysis and support vector machine (2021-12-01)
    • Secure cloud infrastructure: A survey on issues, current solutions, and open challenges (2021-10-01)
    • A Financial Fraud Detection Model Based on LSTM Deep Learning Technique (2020-10-01)
    • Deep Kalman Neuro-Fuzzy-Based Adaptive Broadcasting Scheme for Vehicular Ad Hoc Networks: A Context-Aware Approach (2020-01-01)
    • A voice morphing model based on the Gaussian mixture model and generative topographic mapping (2020-01-01)
    • Color-based Object Categorization Model Using Fuzzy HSV Inference System (2019-12-01)
    • Deluge Harmony Search Algorithm for Nurse Rostering Problems (2019-12-01)
    • Context-Aware Data-Centric Misbehavior Detection Scheme for Vehicular Ad Hoc Networks Using Sequential Analysis of Temporal and Spatial Correlation of Cooperative Awareness Message Consistency (2019-12-01)
    • The role of pre-trained models in diagnosing Covid-19 using chest X-ray images (2021-08-10)
    • A Simple Mask Detection Model Based on a Multi-Layer Perceptual Neural Network (2021-03-22)
    • LEACH-CR: Energy Saving Hierarchical Network Protocol Based on Low-Energy Adaptive Clustering Hierarchy for Wireless Sensor Networks (2021-01-29)
    • Detecting Bogus Information Attack in Vehicular Ad Hoc Network: A Context-Aware Approach (2019-01-01)
    • Utilization of Millimeter-Wave Spectrum in Wireless Networks (2018-06-21)
    • Two-stage integration of GPS, kinematic information, and cooperative awareness messages using cascaded Kalman filters (2018-01-01)
    • Driving-situation-aware adaptive broadcasting rate scheme for vehicular ad hoc network (2018-01-01)
    • Unsupervised anomaly detection for unlabelled Wireless Sensor Networks Data (2018-01-01)
    • A distributed anomaly detection model for wireless sensor networks based on the one-class principal component classifier (2018-01-01)
    • Improved vehicle positioning algorithm using enhanced innovation-based adaptive Kalman filter (2017-09-01)
    • An effective misbehavior detection model using artificial neural network for vehicular ad hoc network applications (2017-07-02)
    • Mobility information estimation algorithm using Kalman-filter for vehicular ad hoc networks (2016-01-01)
    • Selection of soil features for the detection of Ganoderma using rough set theory (2015-01-01)
    • Data verification and misbehavior detection in vehicular Ad-hoc networks (2015-01-01)
    • Principal Component Analysis-Based Data Reduction Model for Wireless Sensor Networks (2015-01-01)
    • Adaptive and online data anomaly detection for wireless sensor systems (2014-01-01)
    • Advances in data anomaly detection research in Wireless Sensor Networks: A survey and open issues (2013-01-01)
    • An adaptive and efficient dimension reduction model for multivariate wireless sensor network applications (2013-01-01)
    • A sinkhole attack detection scheme in Mintroute wireless Sensor Networks (2012-12-01)
    • One-class principal component classifier for anomaly detection in wireless sensor network (2012-12-01)
    • A survey of intrusion detection schemes in Wireless Sensor Networks (2012-01-01)
    • A novel intrusion detection framework for Wireless Sensor Networks (2011-12-01)
    • Intrusion detection system using unsupervised immune network clustering with reduced features (2010-11-01)

    Teaching materials

    • Information Assurance and Security (IT221) - Undergraduate
    • Database Security (MSIS 622) - Postgraduate
    • Regulatory and Legal Aspects of E-Business(MSIS 634)- Postgraduate

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