Abstract
The field of Internet of Things (IoT) has experienced rapid growth, but it has also introduced significant security and privacy challenges. In particular, the authentication and authorization of edge devices pose major concerns due to their limited resources. While various solutions have been proposed, most of them rely on increasing the computing power, storage, and power capabilities of edge devices. However, these solutions are not practical because of the constraints imposed by the small size and cost-effectiveness requirements of IoT edge devices. Some suggestions involve the use of lightweight cryptographic primitives, but not all edge devices have the necessary resources to implement such solutions. This paper presents a novel approach to addressing the authentication and authorization challenges in edge devices by leveraging artificial intelligence (AI). The proposed solution adopts a fog computing model within the framework of a smart home, but it does not depend on the computational or storage capabilities of the edge devices.
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Zareen, M.S., Tahir, S., Aslam, B. (2024). Authentication and Authorization of IoT Edge Devices Using Artificial Intelligence. In: Puthal, D., Mohanty, S., Choi, BY. (eds) Internet of Things. Advances in Information and Communication Technology. IFIPIoT 2023. IFIP Advances in Information and Communication Technology, vol 683. Springer, Cham. https://doi.org/10.1007/978-3-031-45878-1_32
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DOI: https://doi.org/10.1007/978-3-031-45878-1_32
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