CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Advancing Privacy and Fairness in Healthcare Using Federated Edge Learning and Blockchain

H. Moudoud, Z. Abou El Houda and B. Brik. (2025). "Advancing Privacy and Fairness in Healthcare Using Federated Edge Learning and Blockchain." IEEE Internet of Things Journal, vol. 12, no. 22, pp. 46129-46137.

LLMs to Secure Consumer Networks: Open Problems and Future Directions

H. Moudoud, Z. Abou El Houda and B. Brik. (2025). "LLMs to Secure Consumer Networks: Open Problems and Future Directions." IEEE Consumer Electronics Magazine, vol. 14, no. 5, pp. 51-59.

An SDN-based Adaptive Ensemble Learning Framework for Intrusion Mitigation in Wireless Networks

H. Moudoud, Z. Abou El Houda, L. Khoukhi and H. T. Mouftah. (2025). "An SDN-based Adaptive Ensemble Learning Framework for Intrusion Mitigation in Wireless Networks." ICC 2025 - IEEE International Conference on Communications, pp. 554-559.

Blockchain-Based Federated Learning for Enhanced Cyber-Threats Detection in Connected Vehicles

H. Amari, Z. Abou El Houda, H. Moudoud, L. Khoukhi and L. Hadrich Belguith. (2025). "Blockchain-Based Federated Learning for Enhanced Cyber-Threats Detection in Connected Vehicles." ICC 2025 - IEEE International Conference on Communications, pp. 4257-4262.

A Blockchain-Enabled Multi-Layered Zero-Trust Security Framework for O-RAN

A. Mehrban, Z. Abou El Houda, H. Moudoud, B. Brik and L. Khoukhi. (2025). "A Blockchain-Enabled Multi-Layered Zero-Trust Security Framework for O-RAN." IEEE International Wireless Communications and Mobile Computing (IWCMC), pp. 1564-1569.

Advancing Robustness and Privacy in Federated Learning for Secure Autonomous Vehicle Systems

H. Moudoud, Z. Abou El Houda, B. Brik, M. A. Jan and B. Alshawi. (2025). "Advancing Robustness and Privacy in Federated Learning for Secure Autonomous Vehicle Systems." IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 6183-6192.

A Blockchain-Based Cross-Domain DDoS Mitigation in Consumer Networks

H. Moudoud, Z. Abou El Houda and B. Brik. (2025). "A Blockchain-Based Cross-Domain DDoS Mitigation in Consumer Networks." IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 7095-7104.

Graph Neural Network Framework for Advanced Persistent Threat Detection in IIoT Environments

K. Merzouki, Y. Hadi, H. Elghazi, H. Moudoud and Z. Abou El Houda. (2025). "Graph Neural Network Framework for Advanced Persistent Threat Detection in IIoT Environments." 2025 8th International Conference on Advanced Communication Technologies and Networking (CommNet), pp. 1-7.

Integrating Zero Trust Architecture in O-RAN: A Comprehensive Survey and Analysis

A. Mehrban, Z. Abou El Houda, H. Moudoud and L. Bao Le. (2025). "Integrating Zero Trust Architecture in O-RAN: A Comprehensive Survey and Analysis." IEEE Open Journal of the Communications Society, vol. 6, pp. 10465-10495.

An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection

A. Kadi, A. Selamnia, Z. Abou El Houda, H. Moudoud, B. Brik and L. Khoukhi. (2025). "An In-Depth Comparative Study of Quantum-Classical Encoding Methods for Network Intrusion Detection." IEEE Open Journal of the Communications Society, vol. 6, pp. 1129-1148.

MetaPower: Empowering Peer-to-Peer Energy Trading in the Metaverse With Digital Twins and Blockchain

H. Moudoud, Z. Abou El Houda, B. Brik, S. Harous and S. Abbas. (2025). "MetaPower: Empowering Peer-to-Peer Energy Trading in the Metaverse With Digital Twins and Blockchain." IEEE Systems, Man, and Cybernetics Magazine, vol. 11, no. 2, pp. 14-20.

When Federated Learning Meets Knowledge Distillation to Secure Consumer Edge Network

Z. Abou El Houda, H. Moudoud and B. Brik. (2025). "When Federated Learning Meets Knowledge Distillation to Secure Consumer Edge Network." IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 7192-7200.

Digital Forensics in Next-Generation Internet for Medical Things

Hemant Kumar Saini, Sita Rani, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Abou El Houda, Hajar Moudoud. (2025). "Digital Forensics in Next-Generation Internet for Medical Things." CRC Press.

Securing O-RAN with Zero Trust Architecture and Large Language Models

H. Moudoud, Z. Abou El Houda and B. Brik. (2025). "Securing O-RAN with Zero Trust Architecture and Large Language Models." Proceedings of the 4th International Conference on Advances in Communication Technology and Computer Engineering (ICACTCE), pp. 357-368. Best Paper Award.

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

Z. Abou El Houda, H. Moudoud, B. Brik and L. Khoukhi. (2024). "Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing." IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 7, pp. 7661-7672.

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

Z. Abou El Houda, H. Moudoud and L. Khoukhi. (2024). "Blockchain Meets O-RAN: A Decentralized Zero-Trust Framework for Secure and Resilient O-RAN in 6G and Beyond." IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 1-6.

Zero Trust Security Architecture for 6G Open Radio Access Networks (ORAN)

H. Moudoud, Z. Abou El Houda and B. Brik. (2024). "Zero Trust Security Architecture for 6G Open Radio Access Networks (ORAN)." IEEE Networking Letters, vol. 6, no. 4, pp. 272-275.

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

Z. Abou El Houda, H. Moudoud, B. Brik and M. Adil. (2024). "A Privacy-Preserving Framework for Efficient Network Intrusion Detection in Consumer Network Using Quantum Federated Learning." IEEE Transactions on Consumer Electronics.

Securing the Metaverse: The Intersection of ML-Based Oracles and Blockchain Technology

Hajar Moudoud, Zakaria Abou El Houda, Bouziane Brik. (2024). "Securing the Metaverse: The Intersection of ML-Based Oracles and Blockchain Technology." IEEE Conference on Metaverse Technologies. Best Paper Award.

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

Hajar Moudoud, Zakaria Abou El Houda, Bouzian Brik. (2024). "Reputation-Aware Scheduling for Secure Internet of Drones: A Federated Multi-Agent Deep Reinforcement Learning Approach." IEEE INFOCOM 2024 Workshops.

Advancing Security and Trust in WSNs: A Federated Multi-Agent Deep Reinforcement Learning Approach

Hajar Moudoud, Zakaria Abou El Houda, Bouziane Brik. (2024). "Advancing Security and Trust in WSNs: A Federated Multi-Agent Deep Reinforcement Learning Approach." IEEE Transactions on Consumer Electronics.

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

H. Moudoud, S. Cherkaoui and L. Khoukhi. (2024). "Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN." IEEE Transactions on Vehicular Technology, vol. 73, no. 6, pp. 8457-8471.

Cyber Security for Next-Generation Computing Technologies

Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Abou El Houda, Muhammad Fazal Ijaz, Hajar Moudoud. (2024). "Cyber Security for Next-Generation Computing Technologies." CRC Press.

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

H. Moudoud, W. Hamhoum and S. Cherkaoui. (2023). "Strengthening Open Radio Access Networks: Advancing Safeguards Through ZTA and Deep Learning." GLOBECOM 2023 - IEEE Global Communications Conference, pp. 80-85.

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

Z. Abou El Houda, H. Moudoud and L. Khoukhi. (2023). "Secure and Efficient Federated Learning for Robust Intrusion Detection in IoT Networks." GLOBECOM 2023 - IEEE Global Communications Conference, pp. 2668-2673.

Federated Learning Meets Blockchain to Secure the Metaverse

H. Moudoud and S. Cherkaoui. (2023). "Federated Learning Meets Blockchain to Secure the Metaverse." 2023 International Wireless Communications and Mobile Computing (IWCMC), pp. 339-344.

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

Z. Abou El Houda, H. Moudoud, B. Brik and L. Khoukhi. (2023). "Securing Federated Learning through Blockchain and Explainable AI for Robust Intrusion Detection in IoT Networks." IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 1-6.

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

H. Moudoud and S. Cherkaoui. (2023). "Multi-tasking Federated Learning meets Blockchain to Foster Trust and Security in the Metaverse." Ad Hoc Networks, vol. 150, p. 103264.

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

H. Moudoud and S. Cherkaoui. (2023). "Empowering Security and Trust in 5G and Beyond: A Deep Reinforcement Learning Approach." IEEE Open Journal of the Communications Society, vol. 4, pp. 2410-2420.

Toward Secure and Private Federated Learning for IoT using Blockchain

H. Moudoud and S. Cherkaoui. (2022). "Toward Secure and Private Federated Learning for IoT using Blockchain." GLOBECOM 2022 - IEEE Global Communications Conference, pp. 4316-4321.

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

H. Moudoud, Z. Mlika, L. Khoukhi and S. Cherkaoui. (2022). "Detection and Prediction of FDI Attacks in IoT Systems via Hidden Markov Model." IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 2978-2990.

Towards a Scalable and Trustworthy Blockchain: IoT Use Case

Hajar Moudoud, et al. (2022). "Towards a Scalable and Trustworthy Blockchain: IoT Use Case." arXiv preprint. arXiv:2201.11337.

Towards a Secure and Reliable Federated Learning using Blockchain

Hajar Moudoud, Soumaya Cherkaoui, Lyes Khoukhi. (2022). "Towards a Secure and Reliable Federated Learning using Blockchain." arXiv preprint. arXiv:2201.11311.

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

H. Moudoud, L. Khoukhi and S. Cherkaoui. (2021). "Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT." IEEE Network, vol. 35, no. 2, pp. 194-201.

Data-Quality Based Scheduling for Federated Edge Learning

A. Taïk, H. Moudoud and S. Cherkaoui. (2021). "Data-Quality Based Scheduling for Federated Edge Learning." IEEE 46th Conference on Local Computer Networks (LCN), pp. 17-23.

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

H. Moudoud, S. Cherkaoui and L. Khoukhi. (2019). "An IoT Blockchain Architecture Using Oracles and Smart Contracts: the Use-Case of a Food Supply Chain." 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1-6.

Talks

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams