research-article

Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

Authors:

Santi P. MaityAuthors Info & Claims

Transactions on Emerging Telecommunications Technologies, Volume 30, Issue 5

https://doi.org/10.1002/ett.3567

Published: 14 May 2019 Publication History

Abstract

Cooperative spectrum sensing (CSS) in cognitive radio system shows improved performance on spectrum sensing but, at the same time, faces a common threat called primary user emulation attack (PUEA) that impersonates the primary user (PU). This work explores joint PU and PUEA detection on CSS as a multiclass hypothesis using fuzzy conditional entropy maximization. To meet the goal, a multithreshold approach is suggested using a constrained differential evolution algorithm search to determine an optimal set of fuzzy function parameters, which maximizes the conditional entropy on the energy values. The proposed work also investigates the performance of CSS in presence of a group of malicious users (as PUEA), which generates signals and directly sends the same to the fusion center. Numerical results through simulation illustrate the efficacy of the proposed scheme in terms of both reliable PU detection in presence or absence of PUEA/malicious user and separate detection of falsifying PU and energy consumption in CSS. Simulation results show that the proposed scheme offers ∼17.54% and ∼39.39% higher detection probability of PU over the existing works in presence of PUEA.

Graphical Abstract

The present work explores PU and PUEA detection based on joint cooperative spectrum sensing (CSS) in a cognitive radio network using fuzzy conditional entropy maximization. A multi‐threshold based approach is suggested using a constrained Differential Evolution algorithm search to determine an optimal set of fuzzy function parameters which maximize the conditional entropy on the energy values. Simulation results illustrate the efficacy of the proposed scheme in terms of both reliable PU detection in presence or absence of PUEA/malicious user, separate detection of falsifying PU and energy consumption in CSS.

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Cited By

Ezhilarasi IClement JArul J(2023)A survey on cognitive radio network attack mitigation using machine learning and blockchainEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02290-z2023:1Online publication date: 30-Sep-2023
https://dl.acm.org/doi/10.1186/s13638-023-02290-z
Chen ZWu JGan JChen ZZhang JHe J(2022)Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attackTransactions on Emerging Telecommunications Technologies10.1002/ett.441433:4Online publication date: 17-Apr-2022
https://dl.acm.org/doi/10.1002/ett.4414
Kumar AGupta NTapwal RSingh J(2021)Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio NetworksAdjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking10.1145/3427477.3429992(56-61)Online publication date: 5-Jan-2021
https://dl.acm.org/doi/10.1145/3427477.3429992

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Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

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Published In

cover image Transactions on Emerging Telecommunications Technologies

Transactions on Emerging Telecommunications Technologies Volume 30, Issue 5

May 2019

20 pages

EISSN:2161-3915

DOI:10.1002/ett.v30.5

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© 2019 John Wiley & Sons, Ltd.

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John Wiley & Sons, Inc.

United States

Publication History

Published: 14 May 2019

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Cited By

Ezhilarasi IClement JArul J(2023)A survey on cognitive radio network attack mitigation using machine learning and blockchainEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02290-z2023:1Online publication date: 30-Sep-2023
https://dl.acm.org/doi/10.1186/s13638-023-02290-z
Chen ZWu JGan JChen ZZhang JHe J(2022)Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attackTransactions on Emerging Telecommunications Technologies10.1002/ett.441433:4Online publication date: 17-Apr-2022
https://dl.acm.org/doi/10.1002/ett.4414
Kumar AGupta NTapwal RSingh J(2021)Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio NetworksAdjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking10.1145/3427477.3429992(56-61)Online publication date: 5-Jan-2021
https://dl.acm.org/doi/10.1145/3427477.3429992

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