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ISSN 2063-5346
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OT-IDS-CR: OPTIMAL TRUSTED INTRUSION DETECTION SYSTEM FOR COOPERATIVE SPECTRUM SENSING AND ALLOCATION IN COGNITIVE RADIO NETWORKS

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A. Krishna Srikanth1* and A.Ch. Sudhir
» doi: 10.48047/ecb/2023.12.si5a.0113

Abstract

Cognitive radio network (CRN) is the main solutions for the efficient spectrum band utilization. The rapid growth of services demand new spectrum bands which affects the effective utilization of resources ie. spectrum scarcity. Cooperative spectrum sensing (CSS) is the standard method to solve the spectrum shortage problematic to enhance the spatial diversity gain. Moreover, mischievous sensing nodes can falsify the spectrum sensing data to avoid valid nodes from applying the spectrum. It causes a serious security threat and degrades the performance of network. Therefore, wireless security has developed an significant issue in CRNs to safeguard reliable spectrum sensing and fair resource distribution and organization. For further enhancement in spectrum sensing and allocation, we proposed an optimal trusted intrusion detection system for considerate spectrum sensing and distribution in cognitive radio networks (OT-IDS-CR). The first contribution is to introduce an improved chaos butterfly optimization (ICBO) algorithm for efficient clustering which divide the sensing nodes into number of clusters. Second, we estimate the trust degree of each secondary user (SUs) based on sensing information’s with the help of cooperative random learning based trust management system (CRL). Then, we utilize the multi-swarm biogeography optimization (MBO) algorithm to optimize the sensing information’s to avoid the dimensionality problem to ensure the secure spectrum sensing and allocation. Finally, to evaluate the performance of our OT-IDS-CR model through different simulation scenarios and the simulation results are likened with the present state-of-art models.

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