Zakaria Abou El Houda

Orcid: 0000-0002-2893-1101

According to our database1, Zakaria Abou El Houda authored at least 26 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
A Privacy-Preserving Collaborative Jamming Attacks Detection Framework Using Federated Learning.
IEEE Internet Things J., April, 2024

2023
Next-power: Next-generation framework for secure and sustainable energy trading in the metaverse.
Ad Hoc Networks, October, 2023

A MEC-Based Architecture to Secure IoT Applications using Federated Deep Learning.
IEEE Internet Things Mag., March, 2023

When Collaborative Federated Learning Meets Blockchain to Preserve Privacy in Healthcare.
IEEE Trans. Netw. Sci. Eng., 2023

MiTFed: A Privacy Preserving Collaborative Network Attack Mitigation Framework Based on Federated Learning Using SDN and Blockchain.
IEEE Trans. Netw. Sci. Eng., 2023

Trust Management in Vehicular Ad-Hoc Networks: Extensive Survey.
IEEE Access, 2023

Advancing Security and Efficiency in Federated Learning Service Aggregation for Wireless Networks.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Securing Federated Learning through Blockchain and Explainable AI for Robust Intrusion Detection in IoT Networks.
Proceedings of the IEEE INFOCOM 2023, 2023

Towards a Secure and Scalable Access Control System Using Blockchain.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

Secure and Efficient Federated Learning for Robust Intrusion Detection in IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2023

2022
When Federated Learning Meets Game Theory: A Cooperative Framework to Secure IIoT Applications on Edge Computing.
IEEE Trans. Ind. Informatics, 2022

"Why Should I Trust Your IDS?": An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks.
IEEE Open J. Commun. Soc., 2022

A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems.
IEEE Internet Things Mag., 2022

A Low-Latency Fog-based Framework to secure IoT Applications using Collaborative Federated Learning.
Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022

Ensemble Learning for Intrusion Detection in SDN-Based Zero Touch Smart Grid Systems.
Proceedings of the 47th IEEE Conference on Local Computer Networks, 2022

A Hierarchical Fog Computing Framework for Network Attack Detection in SDN.
Proceedings of the IEEE International Conference on Communications, 2022

Cost-efficient Federated Reinforcement Learning- Based Network Routing for Wireless Networks.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
Security Enforcement through Software Defined Networks (SDN). (Renforcement de la sécurité à travers les réseaux programmables).
PhD thesis, 2021

Blockchain-based Reverse Auction for V2V charging in smart grid environment.
Proceedings of the ICC 2021, 2021

A Novel Machine Learning Framework for Advanced Attack Detection using SDN.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Bringing Intelligence to Software Defined Networks: Mitigating DDoS Attacks.
IEEE Trans. Netw. Serv. Manag., 2020

Blockchain Meets AMI: Towards Secure Advanced Metering Infrastructures.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

BrainChain - A Machine learning Approach for protecting Blockchain applications using SDN.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Cochain-SC: An Intra- and Inter-Domain Ddos Mitigation Scheme Based on Blockchain Using SDN and Smart Contract.
IEEE Access, 2019

Co-IoT: A Collaborative DDoS Mitigation Scheme in IoT Environment Based on Blockchain Using SDN.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
ChainSecure - A Scalable and Proactive Solution for Protecting Blockchain Applications Using SDN.
Proceedings of the IEEE Global Communications Conference, 2018


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