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Joint Spectrum Sensing and Spectrum Access for Defending Massive SSDF Attacks:A Novel Defense Framework

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Multiple secondary users(SUs)perform collaborative spectrum sensing(CSS)in cognitive radio networks to improve the sensing performance.However,this system severely degrades with spectrum sensing data falsification(SSDF)attacks from a large number of mali-cious secondary users,i.e.,massive SSDF attacks.To mit-igate such attacks,we propose a joint spectrum sensing and spectrum access framework.During spectrum sensing,each SU compares the decisions of CSS and independent spectrum sensing(IndSS),and then the reliable decisions are adopted as its final decisions.Since the transmission slot is divided into several tiny slots,at the stage of spec-trum access,each SU is assigned with a specific tiny time slot.In accordance with its independent final spectrum decisions,each node separately accesses the tiny time slot.Simulation results verify effectiveness of the proposed al-gorithm.

Collaborative spectrum sensingSpec-trum sensing data falsificationSpectrum accessGener-alized likelihood ratio test

XU Zhenyu、SUN Zhiguo、GUO Lili、Muhammad Zahid Hammad、Chintha Tellambura

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College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China

Department of Electrical and Computer Engineering,University of Alberta,Edmonton T6G1H9,Canada

Fundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China

3072021CF080962001138

2022

电子学报(英文)

电子学报(英文)

CSTPCDSCIEI
ISSN:1022-4653
年,卷(期):2022.31(2)
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