Mitigating Primary User Emulation Attack in Cognitive Radio Network Using Localization and Variance Detection

Sultana, Rukhsar; Hussain, Muzzammil

doi:10.1007/978-981-10-5828-8_41

Cited by 10 publications

(7 citation statements)

References 7 publications

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“…The false alarm of the system should be less for good network architecture. Probability measure can be mathematically calculated as followed by Equation ( 17) [32].…”

Section: Probability Of False Alarm Versus Thresholdmentioning

confidence: 99%

“…To counteract the PUE attacks, where the principal user signal and other signals are differentiated, an energy‐efficient localization approach based on the channel attribute variance is presented [32]. The four stages of the suggested algorithm are initiate, enroll, update, and verification.…”

Section: Related Workmentioning

confidence: 99%

“…The false alarm of the system should be less for good network architecture. Probability measure can be mathematically calculated as followed by Equation (17) [32].

\begin{equation}\ {P}_{fa} = \frac{{{\delta }^M}}{T}\ \end{equation}

…”

Section: Detailed Explanation Of Proposed System Model For Location P...mentioning

confidence: 99%

See 2 more Smart Citations

Blockchain‐oriented location privacy preserving for cooperative spectrum sensing in 6G wireless networks

Roopa

Pradhan

2023

IET Blockchain

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In this article, the authors proposed a novel blockchain-oriented location privacypreserving (BoLPP) for the Cooperative Spectrum Sensing (CSS) in 6G networks. In order to attain the sustainability of privacy and security for 6G wireless networks, it is a great challenge in this sensing as it faces various malicious attacks while the secondary user (SU) is active. To tackle these issues, the authors proposed a novel framework for blockchainoriented Cognitive Radio Networks (CRNs) for CSS using an energy detection technique. Moreover, the authors implemented another novel paradigm BoLPP, to attain the privacy of SUs location for CSS in 6G networks. This approach preserves the SUs' location and makes the BoLPP framework immune to all malicious attackers. The simulation results have been undergone based on the performance metrics such as response time, consistency, probability of false alarm, frame loss (%), average network throughput, energy efficiency, and security. The outcomes reveal that the proposed scheme achieves high security, privacy, energy efficiency, average network throughput, and low probability of false alarm and frame loss (%) when compared with the existing frameworks such as Friend or Foe (FoF) and Tidal Trust Algorithm (TTA) mechanisms. It is observed that the proposed BoLPP mechanism provides better security and privacy in 6G wireless networks.

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“…The false alarm of the system should be less for good network architecture. Probability measure can be mathematically calculated as followed by Equation ( 17) [32].…”

Section: Probability Of False Alarm Versus Thresholdmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Blockchain‐oriented location privacy preserving for cooperative spectrum sensing in 6G wireless networks

Roopa

Pradhan

2023

IET Blockchain

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“…Several approaches have been proposed to cope with the PUE attacks [11][12][13][14][15][16][17][18][19][20][21][22][23][24]. For instance, the authors of [11] proposed an energy-based detection approach to detect the source of the signal and decide if it is emitted by a legitimate primary user or an attacker.…”

Section: Introductionmentioning

confidence: 99%

“…However, this technique is affected by the multipath phenomenon [21]. The authors of [22] proposed a mitigation approach to distinguish the primary user signal from other signals via an energy-efficient localization technique and channel parameter variance. The authors of [23] proposed a model based on the trilateration, the received signal strength (RSS), and the particle swarm optimization to increase the detection accuracy of the primary user emulation attacker.…”

Section: Introductionmentioning

confidence: 99%

Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter

Mrabet

Arjoune

Ghazi

et al. 2018

JSAN

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Abstract:Cognitive radio technology addresses the problem of spectrum scarcity by allowing secondary users to use the vacant spectrum bands without causing interference to the primary users. However, several attacks could disturb the normal functioning of the cognitive radio network. Primary user emulation attacks are one of the most severe attacks in which a malicious user emulates the primary user signal characteristics to either prevent other legitimate secondary users from accessing the idle channels or causing harmful interference to the primary users. There are several proposed approaches to detect the primary user emulation attackers. However, most of these techniques assume that the primary user location is fixed, which does not make them valid when the primary user is mobile. In this paper, we propose a new approach based on the Kalman filter framework for detecting the primary user emulation attacks with a non-stationary primary user. Several experiments have been conducted and the advantages of the proposed approach are demonstrated through the simulation results.

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The Design of an Effective Extreme_Controller_Mechanism Scheme for Software-Defined Cognitive Radio Network

Sibanda

Velempini

2020

Proceedings of Fifth International Congress on Information and Communication Technology

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Mitigating Primary User Emulation Attack in Cognitive Radio Network Using Localization and Variance Detection

Cited by 10 publications

References 7 publications

Blockchain‐oriented location privacy preserving for cooperative spectrum sensing in 6G wireless networks

Blockchain‐oriented location privacy preserving for cooperative spectrum sensing in 6G wireless networks

Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter

The Design of an Effective Extreme_Controller_Mechanism Scheme for Software-Defined Cognitive Radio Network

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