Sensor Medium Access Control (SMAC)-based epilepsy patients monitoring system. - Safa Otoum; Muayad Ahmed; Hussein T. Mouftah (CCECE, 2015)

Hierarchical trust-based black-hole detection in WSN-based smart grid monitoring. - Safa Otoum; Burak Kantarci; Hussein T. Mouftah (ICC, 2017)

Mitigating False Negative intruder decisions in WSN-based Smart Grid monitoring. - Safa Otoum; Burak Kantarci; Hussein T. Mouftah (IWCMC, 2017)

Adaptively Supervised and Intrusion-Aware Data Aggregation for Wireless Sensor Clusters in Critical Infrastructures. - Safa Otoum; Burak Kantarci; Hussein T. Mouftah (ICC, 2018)

Empowering Reinforcement Learning on Big Sensed Data for Intrusion Detection. - Safa Otoum; Burak Kantarci; Hussein T. Mouftah (ICC, 2019)

An intrusion detection system for connected vehicles in smart cities. - Moayad Aloqaily; Safa Otoum; Ismaeel Al Ridhawi; Yaser Jararweh (Ad Hoc Networks, 2019)

On the Feasibility of Deep Learning in Sensor Network Intrusion Detection. - Safa Otoum; Burak Kantarci; Hussein T. Mouftah (IEEE Netw. Lett., 2019)

An IoT-Based Non-invasive Diabetics Monitoring System for Crucial Conditions. - Hermon Yehdego; Safa Otoum; Omar Alfandi (ADHOCNETS, 2020)

Blockchain-Supported Federated Learning for Trustworthy Vehicular Networks. - Safa Otoum; Ismaeel Al Ridhawi; Hussein T. Mouftah (GLOBECOM, 2020)

A Novel Ensemble Method for Advanced Intrusion Detection in Wireless Sensor Networks. - Safa Otoum; Burak Kantarci; Hussein T. Mouftah (ICC, 2020)

Blockchain Solution for IoT-based Critical Infrastructures: Byzantine Fault Tolerance. - Omar Alfandi; Safa Otoum; Yaser Jararweh (NOMS, 2020)

Intelligent jamming-aware routing in multi-hop IoT-based opportunistic cognitive radio networks. - Haythem Bany Salameh; Safa Otoum; Moayad Aloqaily; Rawan Derbas; Ismaeel Al Ridhawi; Yaser Jararweh (Ad Hoc Networks, 2020)

Blockchain-based database in an IoT environment: challenges, opportunities, and analysis. - Lewis Tseng; Xinyu Yao; Safa Otoum; Moayad Aloqaily; Yaser Jararweh (Clust. Comput., 2020)

Blockchain for Managing Heterogeneous Internet of Things: A Perspective Architecture. - Lewis Tseng; Liwen Wong; Safa Otoum; Moayad Aloqaily; Jalel Ben-Othman (IEEE Netw., 2020)

Low-latency vehicular edge: A vehicular infrastructure model for 5G. - Venkatraman Balasubramanian 002; Safa Otoum; Moayad Aloqaily; Ismaeel Al Ridhawi; Yaser Jararweh (Simul. Model. Pract. Theory, 2020)

A Novel Deep Reinforcement Learning-based Approach for Task-offloading in Vehicular Networks. - S. M. Ahsan Kazmi; Safa Otoum; Rasheed Hussain; Hussein T. Mouftah (GLOBECOM, 2021)

Federated Reinforcement Learning-Supported IDS for IoT-steered Healthcare Systems. - Safa Otoum; Nadra Guizani; Hussein T. Mouftah (ICC, 2021)

DHT-based Communications Survey: Architectures and Use Cases. - Yahya Hassanzadeh-Nazarabadi; Sanaz Taheri Boshrooyeh; Safa Otoum; Seyhan Ucar; Öznur Özkasap (CoRR, 2021)

A Survey on Blockchain for Information Systems Management and Security. - David Berdik; Safa Otoum; Nikolas Schmidt; Dylan Porter; Yaser Jararweh (Inf. Process. Manag., 2021)

Preventing and Controlling Epidemics Through Blockchain-Assisted AI-Enabled Networks. - Safa Otoum; Ismaeel Al Ridhawi; Hussein T. Mouftah (IEEE Netw., 2021)

Generalizing AI: Challenges and Opportunities for Plug and Play AI Solutions. - Ismaeel Al Ridhawi; Safa Otoum; Moayad Aloqaily; Azzedine Boukerche (IEEE Netw., 2021)

Intelligent Control and Security of Fog Resources in Healthcare Systems via a Cognitive Fog Model. - Mohammed Al-Khafajiy; Safa Otoum; Thar Baker; Muhammad Asim 001; Zakaria Maamar; Moayad Aloqaily; Mark Taylor 005; Martin Randles (ACM Trans. Internet Techn., 2021)

A Comparative Study of AI-Based Intrusion Detection Techniques in Critical Infrastructures. - Safa Otoum; Burak Kantarci; Hussein T. Mouftah (ACM Trans. Internet Techn., 2021)

Enabling Trustworthiness in Sustainable Energy Infrastructure Through Blockchain and AI-Assisted Solutions. - Safa Otoum; Hussein T. Mouftah (IEEE Wirel. Commun., 2021)

Resource and Heterogeneity-aware Clients Eligibility Protocol in Federated Learning. - Muhammad Asad 002; Safa Otoum; Saima Shaukat (GLOBECOM, 2022)

On the Feasibility of Federated Learning for Neurodevelopmental Disorders: ASD Detection Use-Case. - Hala Shamseddine; Safa Otoum; Azzam Mourad (GLOBECOM, 2022)

AI-Enabled Health 4.0: An IoT-Based COVID-19 Diagnosis Use-Case. - Xiaoyu Song; Wei Pan; Ismaeel Al Ridhawi; Ali Abbas; Safa Otoum (GLOBECOM, 2022)

Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory. - Osama Wehbi; Sarhad Arisdakessian; Omar Abdel Wahab 001; Hadi Otrok; Safa Otoum; Azzam Mourad (GLOBECOM, 2022)

A Hybrid Edge-assisted Machine Learning Approach for Detecting Heart Disease. - Vahideh Hayyolalam; Safa Otoum; Öznur Özkasap (ICC, 2022)

Realizing Health 4.0 in Beyond 5G Networks. - Safa Otoum; Ismaeel Al Ridhawi; Hussein T. Mouftah (ICC, 2022)

Dynamic QoS/QoE-aware reliable service composition framework for edge intelligence. - Vahideh Hayyolalam; Safa Otoum; Öznur Özkasap (Clust. Comput., 2022)

A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection. - Hala Shamseddine; Safa Otoum; Azzam Mourad (CoRR, 2022)

ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme. - Mario Chahoud; Hani Sami; Azzam Mourad; Safa Otoum; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (CoRR, 2022)

Securing Critical IoT Infrastructures With Blockchain-Supported Federated Learning. - Safa Otoum; Ismaeel Al Ridhawi; Hussein T. Mouftah (IEEE Internet Things J., 2022)

Supporting Next-Generation Network Management with Intelligent Moving Devices. - Ismaeel Al Ridhawi; Safa Otoum (IEEE Netw., 2022)

VeNet: Hybrid Stacked Autoencoder Learning for Cooperative Edge Intelligence in IoV. - Venkatraman Balasubramanian 002; Safa Otoum; Martin Reisslein (IEEE Trans. Intell. Transp. Syst., 2022)

Towards Privacy-Aware Federated Learning for User-Sensitive Data. - Muhammad Asad 002; Safa Otoum (BCCA, 2023)

Modeling and Evaluation of the Internet of Things Communication Protocols in Security Constrained Systems. - Colton Helbig; Safa Otoum; Yaser Jararweh (CCNC, 2023)

On the Viability of Federated Deep Autoencoder for Botnet Threat Detection. - Belsabel Teklemariam; Saron Bokretsion; Safa Otoum; Bassem Ouni (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Phishing Detection Using Deep Learning and Machine Learning Algorithms: Comparative Analysis. - Betiel Tesfom; Feven B. Araya; Snit Daniel; Reem Salem; Safa Otoum (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Overcoming Resource Bottlenecks in Vehicular Federated Learning: A Cluster-Based and QoS-Aware Approach. - Sawsan AbdulRahman; Ouns Bouachir; Safa Otoum; Azzam Mourad (GLOBECOM, 2023)

FLDetect: An API-Based Ransomware Detection Using Federated Learning. - Tomas Petros; Henos Ghirmay; Safa Otoum; Reem Salem; Mérouane Debbah (GLOBECOM, 2023)

Towards Boosting Federated Learning Convergence: A Computation Offloading & Clustering Approach. - Sawsan Abdul Rahman; Ouns Bouachir; Safa Otoum; Azzam Mourad (ICC, 2023)

Edge Computing for the Metaverse: Balancing Security and Privacy Concerns. - Muhammad Asad 002; Safa Otoum; Omar Al Fandi (iMETA, 2023)

Global Differential Privacy for Distributed Metaverse Healthcare Systems. - Mehdi Letafati; Safa Otoum (iMETA, 2023)

On the Feasibility of Zero-Trust Architecture in Assuring Security in Metaverse. - Fatema Al Shehhi; Safa Otoum (iMETA, 2023)

Decentralized Zero-Trust Framework for Digital Twin-based 6G. - Ismaeel Al Ridhawi; Safa Otoum; Moayad Aloqaily (CoRR, 2023)

FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices. - Osama Wehbi; Sarhad Arisdakessian; Omar Abdel Wahab 001; Hadi Otrok; Safa Otoum; Azzam Mourad; Mohsen Guizani (IEEE Internet Things J., 2023)

On the feasibility of Federated Learning towards on-demand client deployment at the edge. - Mario Chahoud; Safa Otoum; Azzam Mourad (Inf. Process. Manag., 2023)

On the Feasibility of Split Learning, Transfer Learning and Federated Learning for Preserving Security in ITS Systems. - Safa Otoum; Nadra Guizani; Hussein T. Mouftah (IEEE Trans. Intell. Transp. Syst., 2023)

A Federated Learning and Blockchain-Enabled Sustainable Energy Trade at the Edge: A Framework for Industry 4.0. - Safa Otoum; Ismaeel Al Ridhawi; Hussein T. Mouftah (IEEE Internet Things J., 2023)

On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme. - Mario Chahoud; Hani Sami; Azzam Mourad; Safa Otoum; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (IEEE Internet Things J., 2023)

On the privacy and security for e-health services in the metaverse: An overview. - Mehdi Letafati; Safa Otoum (Ad Hoc Networks, 2023)

Management of Digital Twin-Driven IoT Using Federated Learning. - Sawsan AbdulRahman; Safa Otoum; Ouns Bouachir; Azzam Mourad (IEEE J. Sel. Areas Commun., 2023)

Blockchain-Enhanced Federated Learning for Internet of Vehicles. - Muhammad Asad 002; Safa Otoum (BCCA, 2024)

Optimizing Feature Selection to Improve Classification in Intrusion Detection System. - Amir Anees; Ouns Bouachir; Safa Otoum (GLOBECOM (Workshops), 2024)

A Federated MRI and ML Approach for Precision Healthcare Detection. - Noof Almarar; Safa Otoum (ICC, 2024)

Federated Learning for Personalized User Experiences in the Metaverse. - Muhammad Asad 002; Safa Otoum (iMETA, 2024)

Federated Learning in Vehicular Networks: A Review of Emerging Trends and Future Directions. - Muhammad Asad 002; Safa Otoum; Bassem Ouni (WF-IoT, 2024)

CRAS-FL: Clustered resource-aware scheme for federated learning in vehicular networks. - Sawsan AbdulRahman; Ouns Bouachir; Safa Otoum; Azzam Mourad (Veh. Commun., 2024)

Integrative Federated Learning and Zero-Trust Approach for Secure Wireless Communications. - Muhammad Asad 002; Safa Otoum (IEEE Wirel. Commun., 2024)

Digital Healthcare in the Metaverse: Insights into Privacy and Security. - Mehdi Letafati; Safa Otoum (IEEE Consumer Electron. Mag., 2024)

Clients Eligibility-Based Lightweight Protocol in Federated Learning: An IDS Use Case. - Muhammad Asad 002; Safa Otoum; Saima Shaukat (IEEE Trans. Netw. Serv. Manag., 2024)

Federated learning for efficient spectrum allocation in open RAN. - Muhammad Asad 002; Safa Otoum (Clust. Comput., 2024)

Federated learning on the go: Building stable clusters and optimizing resources on the road. - Sawsan Abdul Rahman; Safa Otoum; Ouns Bouachir (Veh. Commun., 2025)

Bppfl: a blockchain-based framework for privacy-preserving federated learning. - Muhammad Asad 002; Safa Otoum (Clust. Comput., 2025)

Zero-Trust Federated Learning via 6G URLLC for Vehicular Communications. - Muhammad Asad 002; Safa Otoum; Bassem Ouni (IEEE J. Sel. Areas Commun., 2025)