Trust Mechanism
Trust mechanisms are crucial for securing interactions in diverse systems, from autonomous vehicles and e-commerce platforms to AI models handling sensitive data and federated learning networks. Current research focuses on integrating policy-based and reputation-based approaches, often employing techniques like generative adversarial networks (GANs), fuzzy logic, and role-based access control (RBAC) to assess and manage trust dynamically. These advancements aim to improve security, reliability, and data privacy across various applications, impacting fields ranging from transportation and online commerce to artificial intelligence and smart city infrastructure.
Papers
Trust Driven On-Demand Scheme for Client Deployment in Federated Learning
Mario Chahoud, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities
Osama Wehbi, Sarhad Arisdakessian, Mohsen Guizani, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Al khzaimi, Bassem Ouni