Detection of PUE Attack in CRN with Reduced Error in Location Estimation Using Novel Bat Algorithm

Int. J. Wirel. Networks Broadband Technol. Pub Date : 2017-07-01 DOI:10.4018/IJWNBT.2017070101

Aasia Rehman, D. Prakash

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引用次数: 2

Abstract

CognitiveRadioNetworkTechnologymakestheefficientutilizationofscarcespectrumresources byallowingtheunlicenseduserstoopportunisticallyusethelicensedspectrum.CognitiveRadio Networkduetoitsflexibleandopennatureisvulnerabletoanumberofsecurityattacks.Thispaper ismainlyconcernedwithoneofthephysicallayerattackcalledPrimaryUserEmulationAttackand itsdetection.ThispapersolvestheproblemofPUEattackbylocalizationtechniquebasedonTDOA measurementswithreducederrorinlocationestimationusingaNovelBatAlgorithm(NBA).Anumber ofcooperativesecondaryusersareusedfordetectingthePUEAbycomparingitsestimatedposition withtheknownpositionofincumbent.ThemaingoalofNBAistominimizetwofitnessfunctions namelynon-linearleastsquareandthemaximumlikelihoodinordertooptimizetheestimationerror. Afterevaluation,simulationresultsclearlydemonstratesthatNBAresultsinreducedestimationerror ascomparedtoTaylorSeriesEstimationandParticleSwarmOptimization. KEyWoRDS Cognitive Radio, Cognitive Radio Networks, Maximum Likelihood, Non-Linear Least Square, Novel Bat Algorithm, Primary User Emulation Attack, Taylor Series Estimation, Time Difference of Arrival

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利用新型Bat算法降低定位误差的CRN中PUE攻击检测

CognitiveRadioNetworkTechnologymakestheefficientutilizationofscarcespectrumresources byallowingtheunlicenseduserstoopportunisticallyusethelicensedspectrum。CognitiveRadio Networkduetoitsflexibleandopennatureisvulnerabletoanumberofsecurityattacks。Thispaper ismainlyconcernedwithoneofthephysicallayerattackcalledPrimaryUserEmulationAttackand itsdetection。ThispapersolvestheproblemofPUEattackbylocalizationtechniquebasedonTDOA measurementswithreducederrorinlocationestimationusingaNovelBatAlgorithm(NBA)。Anumber ofcooperativesecondaryusersareusedfordetectingthePUEAbycomparingitsestimatedposition withtheknownpositionofincumbent。ThemaingoalofNBAistominimizetwofitnessfunctions namelynon-linearleastsquareandthemaximumlikelihoodinordertooptimizetheestimationerror。Afterevaluation，simulationresultsclearlydemonstratesthatNBAresultsinreducedestimationerror ascomparedtoTaylorSeriesEstimationandParticleSwarmOptimization。关键词:认知无线电，认知无线电网络，极大似然，非线性最小二乘，新型蝙蝠算法，主用户仿真攻击，泰勒级数估计，到达时差

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Int. J. Wirel. Networks Broadband Technol.

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