Abstract
Cognitive radio networks (CRs) are used whenever intelligent channel selection is needed. Using CR, the trans receiver is able to send scan signals on the network to evaluate if the network is free or not. Once the scan is complete, then data communication is performed on the network. In order to optimize the network performance, various state-of-the-art approaches are proposed which optimize the quality of service (QoS) parameters like end-to-end communication delay, throughput, energy consumption, packet delivery ratio, etc. While optimizing these QoS parameters, there are certain security loop holes created in the CRNs. Due to these loop holes, the sensing capabilities of the CR nodes get affected as attackers induce invalid signatures on the nodes, thereby making them misbehave. In order to reduce these attacks, this paper introduces a blockchain based approach to secure the cognitive radio network. But due to the inclusion of a security framework, the network QoS reduces. In order to reduce the effect of blockchain on QoS, an adaptive Artificial Intelligence (AI) is incorporated into the network. This AI layer is responsible for enhancing the QoS performance, while kee** the CRN secure. The AI layer uses sidechains in order to perform this task. This work is observed to have a 20% higher trust level than non-blockchain based security algorithms, while maintaining a 10% improvement in the overall network QoS.
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Chopade, S.S., Dalu, S.S. (2022). Improving Security with Optimized QoS in Cognitive Radio Networks Using AI Backed Blockchains. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_65
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