Print Email Facebook Twitter Blockchain-empowered federated learning based solutions for Internet of Things security, privacy, and performance Title Blockchain-empowered federated learning based solutions for Internet of Things security, privacy, and performance Author Papadopoulos, Panagiotis (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Conti, M. (mentor) Lal, C. (mentor) Martinez, Jorge (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2023-02-03 Abstract The Internet of Things (IoT) is a rapidly growing technology that connects millions of devices together. However, as more devices connect, the importance of ensuring security, privacy, and performance becomes paramount. Training performance is affected without proper protocols in place, and devices can get compromised. This research focuses on how to enhance IoT security, privacy and performance using federated learning and blockchain. We will first identify the current challenges concerning those three metrics for IoT. Then, we will introduce federated learning and blockchain and explore how to integrate them. Next, we will address a set of related work performed on the field through a series of surveys. Keeping those surveys in mind, we present and compare several novel solutions for various IoT applications that attempt to provide solutions to enhance IoT security. We complete this study by discussing the potential of those solutions, as well as their challenges and then we highlight possible directions for future research in this booming field. Subject IoTfederated learningblockchain To reference this document use: http://resolver.tudelft.nl/uuid:45e78fb1-a8fd-4c0c-9988-3534bf3e752c Part of collection Student theses Document type bachelor thesis Rights © 2023 Panagiotis Papadopoulos Files PDF CSE3000_Final_Paper.pdf 671.05 KB Close viewer /islandora/object/uuid:45e78fb1-a8fd-4c0c-9988-3534bf3e752c/datastream/OBJ/view