| 2024 | GLOBECOM | Optimizing Feature Selection to Improve Classification in Intrusion Detection System. | Amir Anees, Ouns Bouachir, Safa Otoum |
| 2023 | DASC | On the Viability of Federated Deep Autoencoder for Botnet Threat Detection. | Belsabel Teklemariam, Saron Bokretsion, Safa Otoum, Bassem Ouni |
| 2023 | DASC | Phishing Detection Using Deep Learning and Machine Learning Algorithms: Comparative Analysis. | Betiel Tesfom, Feven B. Araya, Snit Daniel, Reem Salem, Safa Otoum |
| 2023 | GLOBECOM | Overcoming Resource Bottlenecks in Vehicular Federated Learning: A Cluster-Based and QoS-Aware Approach. | Sawsan AbdulRahman, Ouns Bouachir, Safa Otoum, Azzam Mourad |
| 2023 | GLOBECOM | FLDetect: An API-Based Ransomware Detection Using Federated Learning. | Tomas Petros, Henos Ghirmay, Safa Otoum, Reem Salem, Mrouane Debbah |
| 2022 | GLOBECOM | Resource and Heterogeneity-aware Clients Eligibility Protocol in Federated Learning. | Muhammad Asad, Safa Otoum, Saima Shaukat |
| 2022 | GLOBECOM | On the Feasibility of Federated Learning for Neurodevelopmental Disorders: ASD Detection Use-Case. | Hala Shamseddine, Safa Otoum, Azzam Mourad |
| 2022 | GLOBECOM | AI-Enabled Health 4.0: An IoT-Based COVID-19 Diagnosis Use-Case. | Xiaoyu Song, Wei Pan, Ismaeel Al Ridhawi, Ali Abbas, Safa Otoum |
| 2022 | GLOBECOM | Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory. | Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad |
| 2021 | GLOBECOM | A Novel Deep Reinforcement Learning-based Approach for Task-offloading in Vehicular Networks. | S. M. Ahsan Kazmi, Safa Otoum, Rasheed Hussain, Hussein T. Mouftah |
| 2020 | GLOBECOM | Blockchain-Supported Federated Learning for Trustworthy Vehicular Networks. | Safa Otoum, Ismaeel Al Ridhawi, Hussein T. Mouftah |
| 2020 | NOMS | Blockchain Solution for IoT-based Critical Infrastructures: Byzantine Fault Tolerance. | Omar Alfandi, Safa Otoum, Yaser Jararweh |
| 2017 | IWCMC | Mitigating False Negative intruder decisions in WSN-based Smart Grid monitoring. | Safa Otoum, Burak Kantarci, Hussein T. Mouftah |