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A Lightweight Secure Throughput Optimization Scheme in Cognitive Radio Networks

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Abstract

Cognitive radio (CR) is a technological invention to improve the spectrum performance in wireless networks linked to a cooperative spectrum sensing strategy. This performance, however, can be degraded by adversary secondary nodes which intentionally aim to falsify the decisions on the presence of primary nodes. The purpose of this paper is to model and investigate the impact of adversary secondary nodes in the context of cooperative spectrum sensing in CRs in terms of false alarms and missed detection probabilities. The impact of these probabilities is then included analytically in the throughput formula accordingly, under the assumption of adopting Slotted-ALOHA protocol by the secondary nodes. Then an intrusion detection system is proposed with the goal to maximize the network throughput with adversary secondary users. Simulations are carried out to test the validation of the proposed method and to evaluate the achieved results with the well-known decision rules.

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Funding

This manuscript has been funded partially by research offices at the University of Kurdistan and the University of Halabja.

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Authors and Affiliations

  1. Physics Department, College of Science, University of Halabja, Halabja, Iraq

    Azzam Khalid Hama Tofiq & Faraedoon Waly Ahmed

  2. Department of Electrical Engineering, University of Kurdistan, Sanandaj, Iran

    Mohammad Fathi

Authors
  1. Azzam Khalid Hama Tofiq
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  2. Mohammad Fathi
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  3. Faraedoon Waly Ahmed
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Correspondence to Mohammad Fathi.

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Tofiq, A.K.H., Fathi, M. & Ahmed, F.W. A Lightweight Secure Throughput Optimization Scheme in Cognitive Radio Networks. Wireless Pers Commun 132, 245–259 (2023). https://doi.org/10.1007/s11277-023-10609-8

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