Mustafa Al Samara

Orcid: 0000-0001-6933-7558

According to our database1, Mustafa Al Samara authored at least 21 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DADM2D-SFL: Decentralised Aggregation framework based on DBSCAN Malicious Model Detection for Secure Federated Learning.
Comput. Networks, 2026

A Privacy-Preserving Behavioral Authentication Framework for Public Transport Applications.
IEEE Access, 2026

2025
Securing Federated Learning in IoT: A Survey of Attacks, Defenses, and Frameworks.
IEEE Internet Things J., 2025

M3D-FL: Multi-layer Malicious Model Detection for Federated Learning in IoT networks.
Comput. Secur., 2025

AI-Driven Optimisation for Mobile Behavioural Biometrics Continuous Authentication.
Proceedings of the 21th International Conference on Wireless and Mobile Computing, 2025

A Meta Learning Framework for Intrusion Detection in Connected Vehicles.
Proceedings of the 21th International Conference on Wireless and Mobile Computing, 2025

B2CAR: Behavioural Biometrics for Continuous Authentication with Regularisation Techniques.
Proceedings of the International Wireless Communications and Mobile Computing, 2025

A Distributed Federated Learning Framework for Privacy-Preserving ADHD Diagnosis.
Proceedings of the 22nd IEEE/ACS International Conference on Computer Systems and Applications, 2025

2024
SA-O<sup>2</sup>DCA: Seasonal Adapted Online Outlier Detection and Classification Approach for WSN.
J. Netw. Syst. Manag., April, 2024

EMDG-FL: Enhanced Malicious Model Detection based on Genetic Algorithm for Federated Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

FedLbs: Federated Learning Loss-Based Swapping Approach for Energy Building's Load Forecasting.
Proceedings of the International Wireless Communications and Mobile Computing, 2024

ERD-FL: Entropy-Driven Robust Defense for Federated Learning.
Proceedings of the International Wireless Communications and Mobile Computing, 2024

AM2DN-FL: Adaptive Malicious Model Detection in Non-IID Data Using Federated Learning for IoT System.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Efficient SIP Dispatcher Mechanism Based on Auto Scaling Processes.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023
Complete outlier detection and classification framework for WSNs based on OPTICS.
J. Netw. Comput. Appl., February, 2023

Anomaly detection in loT: from data efficiency toe enhancing QoS. (Détection d'anomalies dans l'IoT: de l'efficacité des données à l'amélioration de la qualité de service).
PhD thesis, 2023

O<sup>2</sup>DCA: Online Outlier Detection and Classification Approach for WSN.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Enhanced efficient outlier detection and classification approach for WSNs.
Simul. Model. Pract. Theory, 2022

A Survey of Outlier Detection Techniques in IoT: Review and Classification.
J. Sens. Actuator Networks, 2022

OPTICS-Based Outlier Detection with Newton Classification.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

2021
An Efficient Outlier Detection and Classification Clustering-Based Approach for WSN.
Proceedings of the IEEE Global Communications Conference, 2021


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