Hajar Moudoud

IEEE Trans. Consumer Electron., November, 2024

A Privacy-Preserving Framework for Efficient Network Intrusion Detection in Consumer Network Using Quantum Federated Learning.

[BibT_eX]

[DOI]

Muhammad Adil

IEEE Trans. Consumer Electron., November, 2024

Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., July, 2024

Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., July, 2024

Reputation-Aware Scheduling for Secure Internet of Drones: A Federated Multi-Agent Deep Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

Blockchain Meets O-RAN: A Decentralized Zero-Trust Framework for Secure and Resilient O-RAN in 6G and Beyond.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

2023

Multi-tasking Federated Learning meets Blockchain to Foster Trust and Security in the Metaverse.

[BibT_eX]

[DOI]

Ad Hoc Networks, November, 2023

Empowering Security and Trust in 5G and Beyond: A Deep Reinforcement Learning Approach.

[BibT_eX]

[DOI]

IEEE Open J. Commun. Soc., 2023

Federated Learning Meets Blockchain to Secure the Metaverse.

[BibT_eX]

[DOI]

Proceedings of the International Wireless Communications and Mobile Computing, 2023

Securing Federated Learning through Blockchain and Explainable AI for Robust Intrusion Detection in IoT Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

Strengthening Open Radio Access Networks: Advancing Safeguards Through ZTA and Deep Learning.

[BibT_eX]

[DOI]

Wissal Hamhoum

Proceedings of the IEEE Global Communications Conference, 2023

Enhancing Open RAN Security with Zero Trust and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

Secure and Efficient Federated Learning for Robust Intrusion Detection in IoT Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Detection and Prediction of FDI Attacks in IoT Systems via Hidden Markov Model.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2022

An Overview of Blockchain and 5G Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Toward Secure and Private Federated Learning for IoT using Blockchain.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

2021

Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Data-Quality Based Scheduling for Federated Edge Learning.

[BibT_eX]

[DOI]

Afaf Taïk

Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

Towards a Scalable and Trustworthy Blockchain: IoT Use Case.

[BibT_eX]

[DOI]

Proceedings of the ICC 2021, 2021

Towards a Secure and Reliable Federated Learning using Blockchain.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2019

An IoT Blockchain Architecture Using Oracles and Smart Contracts: the Use-Case of a Food Supply Chain.

[BibT_eX]

[DOI]