Cooperative Spectrum Sensing With M-Ary Quantized Data in Cognitive Radio Networks Under SSDF Attacks

Chen, Huifang; Zhou, Ming; Xie, Lei; Li, Jie

doi:10.1109/twc.2017.2707407

Cited by 42 publications

(21 citation statements)

References 42 publications

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“…Huifang Chen et al, [103] presented a probabilistic Spectrum Sensing Data Falsification (SSDF) invasion model to illustrate the attacks by malicious SUs. They proposed a robust attackproof Cooperative Spectrum Sensing (CSS) Huifang Chen et al, [103] presented a probabilistic Spectrum Sensing Data Falsification (SSDF) invasion model to illustrate the attacks by malicious SUs. They proposed a robust attackproof Cooperative Spectrum Sensing (CSS) strategy using M-ary quantized data with a malicious user.…”

Section: Fig 10 Network Securitymentioning

confidence: 99%

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

Manjula¹,

Venugopal²,

Gudihatti³

2019

IJCA

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The explosive growth of mobile devices and the rapid increase in wireless services necessitate an improvement in communication techniques. This technology can boost spectrum utilization as well as meet the massive connectivity requirement to draw attention from academia and industry. Cognitive Radio Network (CRN) is an evident optimal solution in alleviating the challenges of spectrum unused potentially in wireless networks. The Secondary Users are allowed intelligently to access the sections of spectrum unused (spectrum holes) by the authorized Primary Users (PUs). The objective of this paper is to analyze channel throughput, delay, carrier aggregations, energy efficiency, and security challenges and provide research ideas to enhance the overall performance of the CRN. This review paper completely investigated the potential management of spectrum techniques, essentially in spectrum sensing, spectrum allocation, spectrum sharing, and spectrum handoff in CRN. In addition, we study the energy efficient routing techniques like network optimization frameworks in cooperative networks, protocols and different types of attack issues, approaches for handling the secure communication in CRNs. The state of art review, which deeply examines the Cognitive Radio Network providing an idea of important technology and challenges are addressed. The open research challenges related to spectrum management, energy efficient routing and security are discussed.

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Section: Fig 10 Network Securitymentioning

confidence: 99%

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

Manjula¹,

Venugopal²,

Gudihatti³

2019

IJCA

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“…It is worth noting that each SU submits raw signal power measurement or a bit decision to the FC according to soft/hard-combining technology, but the binary hard-combining is more advantageous since there is no need for a powerful FC which results in reduced costs, but our results can be readily extended to the case of soft-combining. Some methods of quantifying sensing data have been investigated in [ 24 ] [ 25 ], including quantized hard-combining; however, this study is beyond the scope of our work.…”

Section: System Modelmentioning

confidence: 99%

Sequential cooperative spectrum sensing in the presence of dynamic Byzantine attack for mobile networks

Song

et al. 2018

PLoS ONE

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Cooperative spectrum sensing (CSS) is envisaged as a powerful approach to improve the utilization of scarce radio spectrum resources, but it is threatened by Byzantine attack. Byzantine attack has been becoming a popular research topic in both academia and industry due to the demanding requirements of security. Extensive research mainly aims at mitigating the negative effect of Byzantine attack on CSS, but with some strong assumptions, such as attackers are in minority or trusted node(s) exist for data fusion, while paying little attention to a mobile scenario. This paper focuses on the issue of designing a general and reliable reference for CSS in a mobile network. Instead of the previously simplified attack, we develop a generic Byzantine attack model from sophisticated behaviors to conduct various attack strategies and derive the condition of which Byzantine attack makes the fusion center (FC) blind. Specifically, we propose a robust sequential CSS (SCSS) against dynamic Byzantine attack. Our proposed method solves the unreliability of the FC by means of delivery-based assessment to check consistency of individual sensing report, and innovatively reuses the sensing information from Byzantines via a novel weight allocation mechanism. Furthermore, trust value (TrV) ranking is exploited to proceed with a sequential test which generates a more accurate decision about the presence of phenomenon with fewer samples. Lastly, we carry out simulations on comparison of existing data fusion technologies and SCSS under dynamic Byzantine attack, and results verify the theoretical analysis and effectiveness of our proposed approach. We also conduct numerical analyses to demonstrate explicit impacts of secondary user (SU) density and mobility on the performance of SCSS.

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“…(2) Performance analysis under fading channels: a performance analysis of soft combination systems under different fading channels has been studied in [30]. The performance of MRC is better under the channels such as Rayleigh fading, log-normal shadowing, and Rician fading compared to SC and SLC.…”

Section: Soft Combinationmentioning

confidence: 99%

Performance Analysis of New Spectrum Sensing Scheme Using Multiantennas with Multiuser Diversity in Cognitive Radio Networks

Yawada

Dong

2018

Wireless Communications and Mobile Computing

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The spectrum detection (SD) is a critical step in cognitive radio (CR) to identify the available spectrum and avoid interference and harm to primary users (PUs). Nonetheless, the practical detection process is often compromised with problems of receptors uncertainty, shadows, and multipath fading. To overcome these problems, a cooperative SD scheme is proposed by exploiting the system multiantenna (MUA) with the multiuser diversity (MUD). The SD gives unlicensed secondary users (SUs) the opportunity to use the licensed spectral band until the PU makes its appearance. By allowing the cooperation between the SUs of the same spectral band, the time of the detection is reduced and increases the general dexterity, which is the strong point of cooperative SD. In this paper, we proposed an SD scheme using a new MUA design. The scheme proposed is a clear difference compared to other systems because in this design weight of quantification is multiplied by each receiving antenna. The scheme has the ability to detect low-level signals to facilitate sharing between the SU and PU system. The numerical results are made to prove the performance of the proposed system compared to the conventional system. The results obtained confirm the efficiency of the proposed scheme.

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Cooperative Spectrum Sensing With M-Ary Quantized Data in Cognitive Radio Networks Under SSDF Attacks

Cited by 42 publications

References 42 publications

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

A Comprehensive Review on Spectrum Management, Security and Energy-Efficient Cognitive Radio Networks

Sequential cooperative spectrum sensing in the presence of dynamic Byzantine attack for mobile networks

Performance Analysis of New Spectrum Sensing Scheme Using Multiantennas with Multiuser Diversity in Cognitive Radio Networks

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