Ali Farhat, Abdelrahman Eldosouky, Mohamed Ibnkahla, and Ashraf Matrawy
The integration of Internet of Things (loT)-based solutions in various applications introduced several challenges in security and privacy. Due to the nature of loT systems, traditional security solutions are not suitable for solving these challenges. Researchers introduced trust management as a viable solution due to its ability to track the dynamic behavior of loT devices. Compared to traditional security solutions, trust does not require an extensive amount of resources. Several loT trust solutions rely on distributed models that increase network overhead and consume additional energy. To this end, this work proposes a trust management scheme for loT systems that can be implemented at the access layer of loT systems. The proposed scheme establishes trust for loT devices through device-system interaction and communication attributes without requiring any additional information or modifications to the device. The trust value is computed using the trust attributes over a specific window size of interactions and using a forget factor. Simulation results show the ability of the proposed scheme to track the behavior of loT devices. Results also show that the proposed scheme maintains high performance in detecting persistent attacks compared to existing schemes from the literature, while improving the detection rate of ON-OFF attacks by 15%.
Farhat, A. Eldosouky, M. Ibnkahla and A. Matrawy, “IoT Trust Establishment Through System Level Interactions and Communication Attributes,” GLOBECOM 2023 – 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 5919-5924, doi: 10.1109/GLOBECOM54140.2023.10436821.
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