Using Stackelberg game to enhance node protection in WSNs. - Mohamed S. Abdalzaher; Karim G. Seddik; Osamu Muta; Adel B. Abd El-Rahman (CCNC, 2016)

Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey. - Mohamed S. Abdalzaher; Karim G. Seddik; Maha Elsabrouty; Osamu Muta; Hiroshi Furukawa; Adel B. Abd El-Rahman (Sensors, 2016)

Using repeated game for maximizing high priority data trustworthiness in Wireless Sensor Networks. - Mohamed S. Abdalzaher; Karim G. Seddik; Osamu Muta (ISCC, 2017)

An effective Stackelberg game for high-assurance of data trustworthiness in WSNs. - Mohamed S. Abdalzaher; Karim G. Seddik; Osamu Muta (ISCC, 2017)

Using Stackelberg game to enhance cognitive radio sensor networks security. - Mohamed S. Abdalzaher; Karim G. Seddik; Osamu Muta (IET Commun., 2017)

Employing Game Theory and TDMA Protocol to Enhance Security and Manage Power Consumption in WSNs-Based Cognitive Radio. - Mohamed S. Abdalzaher; Osamu Muta (IEEE Access, 2019)

Prolonging smart grid network lifetime through optimising number of sensor nodes and packet length. - Mohamed Elwekeil; Mohamed S. Abdalzaher; Karim G. Seddik (IET Commun., 2019)

Non-zero-sum game-based trust model to enhance wireless sensor networks security for IoT applications. - Mohamed S. Abdalzaher; Lotfy Samy; Osamu Muta (IET Wirel. Sens. Syst., 2019)

Employing data communication networks for managing safer evacuation during earthquake disaster. - Mohamed S. Abdalzaher; Hussein A. Elsayed (Simul. Model. Pract. Theory, 2019)

A Game-Theoretic Approach for Enhancing Security and Data Trustworthiness in IoT Applications. - Mohamed S. Abdalzaher; Osamu Muta (IEEE Internet Things J., 2020)

Comparative Performance Assessments of Machine-Learning Methods for Artificial Seismic Sources Discrimination. - Mohamed S. Abdalzaher; Sayed S. R. Moustafa; Mohammed Abd-Elnaby; Mohamed Elwekeil (IEEE Access, 2021)

Integrating Pre-Earthquake Signatures From Different Precursor Tools. - Essam Ghamry; Emad K. Mohamed; Mohamed S. Abdalzaher; Mohamed Elwekeil; Dedalo Marchetti; Angelo De Santis; Mostafa Hegy; Akimasa Yoshikawa; Adel Fathy (IEEE Access, 2021)

A Quantitative Site-Specific Classification Approach Based on Affinity Propagation Clustering. - Sayed S. R. Moustafa; Mohamed S. Abdalzaher; Farhan Khan; Mohamed Metwaly; Eslam A. Elawadi; Nassir S. Al-Arifi (IEEE Access, 2021)

Development of an Optimized Regression Model to Predict Blast-Driven Ground Vibrations. - Sayed S. R. Moustafa; Mohamed S. Abdalzaher; Mohamed H. Yassien; Taotao Wang; Mohamed Elwekeil; Hesham E. Abdel Hafiez (IEEE Access, 2021)

Machine Learning Benchmarking for Secured IoT Smart Systems. - Mohamed S. Abdalzaher; Mahmoud M. Salim; Hussein Abd El Atty Elsayed; Mostafa M. Fouda (IoTaIS, 2022)

RF Energy Harvesting Dependency for Power Optimized Two-Way Relaying D2D Communication. - Mahmoud M. Salim; Hussein Abd El Atty Elsayed; Mohamed S. Abdalzaher; Mostafa M. Fouda (IoTaIS, 2022)

Seismic Hazard and Site Suitability Evaluation Based on Multicriteria Decision Analysis. - Sayed S. R. Moustafa; Mohamed S. Abdalzaher; Muhammad Naeem; Mostafa M. Fouda (IEEE Access, 2022)

An Optimal Balanced Energy Harvesting Algorithm for Maximizing Two-Way Relaying D2D Communication Data Rate. - Mahmoud M. Salim; Hussein Abd El Atty Elsayed; Mohamed Abd Elaziz 001; Mostafa M. Fouda; Mohamed S. Abdalzaher (IEEE Access, 2022)

A Deep Learning Model for Earthquake Parameters Observation in IoT System-Based Earthquake Early Warning. - Mohamed S. Abdalzaher; M. Sami Soliman; Sherif M. El-Hady; Abderrahim Benslimane; Mohamed Elwekeil (IEEE Internet Things J., 2022)

A Deep Autoencoder Trust Model for Mitigating Jamming Attack in IoT Assisted by Cognitive Radio. - Mohamed S. Abdalzaher; Mohamed Elwekeil; Taotao Wang; Shengli Zhang 001 (IEEE Syst. J., 2022)

Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology. - Mohamed S. Abdalzaher; Hussein Abd El Atty Elsayed; Mostafa M. Fouda (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

An Optimized Learning Model Augment Analyst Decisions for Seismic Source Discrimination. - Mohamed S. Abdalzaher; Sayed S. R. Moustafa; Hesham E. Abdel Hafiez; Walid Farid Ahmed (IEEE Trans. Geosci. Remote. Sens., 2022)

Seismo-Lineaments in Egypt: Analysis and Implications for Active Tectonic Structures and Earthquake Magnitudes. - Sayed S. R. Moustafa; Mohamed S. Abdalzaher; H. E. Abdelhafiez (Remote. Sens., 2022)

Using Machine Learning for Earthquakes and Quarry Blasts Discrimination. - Mohamed S. Abdalzaher; Moez Krichen; Sayed S. R. Moustafa; Mohannad A. Alswailim (AICCSA, 2023)

Advances in AI and Drone-based Natural Disaster Management: A Survey. - Moez Krichen; Mohamed S. Abdalzaher (AICCSA, 2023)

Toward Secured IoT-Based Smart Systems Using Machine Learning. - Mohamed S. Abdalzaher; Mostafa M. Fouda; Hussein Abd El Atty Elsayed; Mahmoud M. Salim (IEEE Access, 2023)

Seismic Intensity Estimation for Earthquake Early Warning Using Optimized Machine Learning Model. - Mohamed S. Abdalzaher; M. Sami Soliman; Sherif M. El-Hady (IEEE Trans. Geosci. Remote. Sens., 2023)

A survey on essential challenges in relay-aided D2D communication for next-generation cellular networks. - Mahmoud M. Salim; Hussein A. Elsayed; Mohamed S. Abdalzaher (J. Netw. Comput. Appl., 2023)

Performance enhancement of artificial intelligence: A survey. - Moez Krichen; Mohamed S. Abdalzaher (J. Netw. Comput. Appl., 2024)

Using Deep Learning for Rapid Earthquake Parameter Estimation in Single-Station Single-Component Earthquake Early Warning System. - Mohamed S. Abdalzaher; M. Sami Soliman; Mostafa M. Fouda (IEEE Trans. Geosci. Remote. Sens., 2024)

Employing Machine Learning for Seismic Intensity Estimation Using a Single Station for Earthquake Early Warning. - Mohamed S. Abdalzaher; M. Sami Soliman; Moez Krichen; Meznah A. Alamro; Mostafa M. Fouda (Remote. Sens., 2024)

Toward Automatic Detection of Pi2 Magnetic Pulsation Using Machine Learning. - Mohamed S. Abdalzaher; Essam Ghamry; Khairul Adib Yusof; Mostafa F. Shaaban (IEEE Access, 2025)

A Survey on Machine Learning Techniques in Smart Grids Based on Wireless Sensor Networks. - Ashraf M. Etman; Mohamed S. Abdalzaher; Ahmed A. Emran; Ahmed Yahya; Mostafa F. Shaaban (IEEE Access, 2025)

Tackling the Optimal Phasor Measurement Unit Placement and Attack Detection Problems in Smart Grids by Incorporating Machine Learning. - Ramzi Al-Sharawi; Abdelfatah Ali; Mostafa F. Shaaban; Nasser Qaddoumi; Mohamed S. Abdalzaher (IEEE Open J. Commun. Soc., 2025)

SNR-aware Semantic Image Transmission with Deep Learning-based Channel Estimation in Fading Channels. - Mahmoud M. Salim; Mohamed S. Abdalzaher; Ali H. Muqaibel; Hussein A. Elsayed; Inkyu Lee (CoRR, 2025)

Software Defined Network Traffic Classification for QoS Optimization Using Machine Learning. - Rehab H. Serag; Mohamed S. Abdalzaher; Hussein Abd El Atty Elsayed; M. Sobh (J. Netw. Syst. Manag., 2025)