• Federated Learning Stability Under Byzantine Attacks 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Federated Learning (FL) is a machine learning approach that enables private and decentralized model training. Although FL has been shown to be very useful in several applications, its privacy constraints cause a lack of ...
    • Securing IoT Cooperative Networks Using Energy Harvesting. 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      An energy efficient and secure Internet of Things (IoT) healthcare system is proposed in this paper. By exploiting spatial diversity, energy harvesting and physical layer security techniques, the proposed approach secures ...
    • Towards Secure IoT Networks in Healthcare Applications: A Game Theoretic Anti-Jamming Framework 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      The internet of Things (IoT) is used to interconnect a massive number of heterogeneous resource constrained smart devices. This makes such networks exposed to various types of malicious attacks. In particular, jamming ...