Coded cooperative trust derivation for internet of things
by Gamini Joshi; Vidushi Sharma
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 12, No. 6, 2022

Abstract: Security in the internet of things (IoT) is a significant challenge that needs utter attention. Traditionally, cryptology was used to secure the IoT network. But the need for fixed infrastructure, huge memory, and high computational power, had compelled it to be unsuitable for resource constraint IoT nodes. Therefore, this paper presents a trust-based network-coded cooperative framework known as coded cooperative trust (CCT). The proposed scheme evaluates the trust value of sensor nodes through direct and indirect specifications. Proximity, frequency-duration, and energy attributes were utilised to evaluate direct trust value, while network code-words were structured to estimate the indirect trust value. The simulation results present that CCT had effectively identified malicious nodes and had shown great performance in terms of throughput, energy consumption, and latency by an average of 49.8%, 55.3%, and 35% respectively, when compared to AF-TNS, RTS, and TAACS-FL models. Moreover, the T-test analysis of CCT has achieved a 99% confidence level.

Online publication date: Wed, 26-Oct-2022

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