Safa Otoum
Orcid: 0000-0002-0814-7328
According to our database1,
Safa Otoum
authored at least 61 papers
between 2015 and 2025.
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Bibliography
2025
Clust. Comput., April, 2025
Federated learning on the go: Building stable clusters and optimizing resources on the road.
Veh. Commun., 2025
2024
Clust. Comput., November, 2024
Clients Eligibility-Based Lightweight Protocol in Federated Learning: An IDS Use Case.
IEEE Trans. Netw. Serv. Manag., August, 2024
IEEE Consumer Electron. Mag., May, 2024
Integrative Federated Learning and Zero-Trust Approach for Secure Wireless Communications.
IEEE Wirel. Commun., April, 2024
CRAS-FL: Clustered resource-aware scheme for federated learning in vehicular networks.
Veh. Commun., 2024
Federated Learning in Vehicular Networks: A Review of Emerging Trends and Future Directions.
Proceedings of the 10th IEEE World Forum on Internet of Things, 2024
Proceedings of the IEEE International Conference on Communications, 2024
2023
IEEE J. Sel. Areas Commun., November, 2023
Ad Hoc Networks, November, 2023
On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme.
IEEE Internet Things J., September, 2023
A Federated Learning and Blockchain-Enabled Sustainable Energy Trade at the Edge: A Framework for Industry 4.0.
IEEE Internet Things J., February, 2023
On the Feasibility of Split Learning, Transfer Learning and Federated Learning for Preserving Security in ITS Systems.
IEEE Trans. Intell. Transp. Syst., 2023
On the feasibility of Federated Learning towards on-demand client deployment at the edge.
Inf. Process. Manag., 2023
FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices.
IEEE Internet Things J., 2023
Towards Boosting Federated Learning Convergence: A Computation Offloading & Clustering Approach.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Overcoming Resource Bottlenecks in Vehicular Federated Learning: A Cluster-Based and QoS-Aware Approach.
Proceedings of the IEEE Global Communications Conference, 2023
Phishing Detection Using Deep Learning and Machine Learning Algorithms: Comparative Analysis.
Proceedings of the IEEE Intl Conf on Dependable, 2023
Proceedings of the IEEE Intl Conf on Dependable, 2023
Modeling and Evaluation of the Internet of Things Communication Protocols in Security Constrained Systems.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Netw., 2022
IEEE Internet Things J., 2022
ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme.
CoRR, 2022
A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection.
CoRR, 2022
Clust. Comput., 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
On the Feasibility of Federated Learning for Neurodevelopmental Disorders: ASD Detection Use-Case.
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
2021
Enabling Trustworthiness in Sustainable Energy Infrastructure Through Blockchain and AI-Assisted Solutions.
IEEE Wirel. Commun., 2021
A Comparative Study of AI-Based Intrusion Detection Techniques in Critical Infrastructures.
ACM Trans. Internet Techn., 2021
Intelligent Control and Security of Fog Resources in Healthcare Systems via a Cognitive Fog Model.
ACM Trans. Internet Techn., 2021
IEEE Netw., 2021
Preventing and Controlling Epidemics Through Blockchain-Assisted AI-Enabled Networks.
IEEE Netw., 2021
Inf. Process. Manag., 2021
Proceedings of the ICC 2021, 2021
A Novel Deep Reinforcement Learning-based Approach for Task-offloading in Vehicular Networks.
Proceedings of the IEEE Global Communications Conference, 2021
2020
Simul. Model. Pract. Theory, 2020
Blockchain for Managing Heterogeneous Internet of Things: A Perspective Architecture.
IEEE Netw., 2020
Blockchain-based database in an IoT environment: challenges, opportunities, and analysis.
Clust. Comput., 2020
Intelligent jamming-aware routing in multi-hop IoT-based opportunistic cognitive radio networks.
Ad Hoc Networks, 2020
Blockchain Solution for IoT-based Critical Infrastructures: Byzantine Fault Tolerance.
Proceedings of the NOMS 2020, 2020
A Novel Ensemble Method for Advanced Intrusion Detection in Wireless Sensor Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the Ad Hoc Networks - 12th EAI International Conference, 2020
2019
IEEE Netw. Lett., 2019
Ad Hoc Networks, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
2018
Adaptively Supervised and Intrusion-Aware Data Aggregation for Wireless Sensor Clusters in Critical Infrastructures.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017
Proceedings of the IEEE International Conference on Communications, 2017
2015
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015