Jettison the Defectives: A Robust Cooperative Spectrum Sensing Scheme in a Cognitive Radio Network

Clement, Joseph

doi:10.1007/s00034-017-0672-9

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…Clement. [25], demonstrated the challenges in defending attacks in cognitive wireless networks. The author focused on addressing the attackers.…”

Section: Bennaceur Et Al[8]mentioning

confidence: 99%

An Authentication Based Approach for Prevention of Spectrum Sensing Data Falsification Attacks in Cognitive Radio Network

Marriwala

Punj²,

Panda

et al. 2021

Preprint

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This is the era of Intelligent cognitive radio network technology that provides the available spectrum with efficient utilization. Cognitive Radio technology must promise to allow interference-free spectrum access by users. The paper discusses the several attacks and motives of attacks. The authentication mechanism role to prevent the attacks for hassle-free spectrum utilization is demonstrated. In this paper, resolving the cognitive network security issues by the authentication mechanism and the methods and need of authentication is discussed. This paper addresses the research challenges in the way of securing the cognitive radio network and countermeasures in CRN security strategies. Cognitive radio is an empowering innovation that guarantees to achieve spectrum utilization. In cognitive radio networks, several security threats affect the process of cognitive radio. Spectrum sensing data falsification (SSDF) attack is most disruptive in which the malicious users degrade the decision-making process by sending the false sensing reports to data fusion centres thus preventing honest users from utilizing the spectrum. Hence, security is a very important issue in cognitive radio networks that needs to be addressed for proper utilization of available spectrum by the users. Cognitive radio technology must promise secure spectrum dynamic access to users. In this paper, to counter the SSDF attack, the trust-based security mechanism is demonstrated to authenticate the honest users and it is observed that the proposed framework in the MATLAB environment is efficient and able to detect malicious users. Cognitive radio technology is the strategy applied to the spectrum to make it efficient for wireless communication. The strategy is an intelligent way to access the spectrum as it can learn its environment and make decisions by easy adaptation of operating parameters. The multiple nodes scenario is a good perspective. Software-defined radio is an essential component of cognitive radio Here, secondary users can access the spectrum to primary users whenever their vacant spectrum is available. The initial step is to sense the spectrum available further steps are spectrum decision making, spectrum management, and spectrum mobility. The network is vulnerable to various attacks on spectrum sensing and policy protocols which lead to disturbing functionality of cognitive radio technology. The defence mechanism based on public-key cryptography is proposed in which PU is authenticated by appending signature provided to PU signal. Authentication with a tag to the primary users is another perspective proposed. CRN technology should provide integrity, confidentiality and authenticity to the users.

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“…Clement. [25], demonstrated the challenges in defending attacks in cognitive wireless networks. The author focused on addressing the attackers.…”

Section: Bennaceur Et Al[8]mentioning

confidence: 99%

An Authentication Based Approach for Prevention of Spectrum Sensing Data Falsification Attacks in Cognitive Radio Network

Marriwala

Punj²,

Panda

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Inspired by image segmentation in the field of computer vision, Wu et al proposed a graph-cut (GC) CSS algorithm in [8], which provides robust spectrum sensing results despite Heterogeneous spectrum occupancy (HetSOc) and SSDF attacks in CR ad-hoc networks (CRAHNs). Clement in [9] proposed two-stage test at the combining centre, including Shapiro-Wilk's normality test and loglikelihood ratio test. The former is used to identify malicious cognitive sensors and to exclude them from the latter, which optimally combines the sensing information of honest cognitive sensors.…”

Section: Related Workmentioning

confidence: 99%

Reuse of Byzantine data in cooperative spectrum sensing using sequential detection

Song

et al. 2020

IET Communications

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“…Detailedly, the FC compares every local report with the global decision and counts the number of correct reports from each SU. After a few iterations, the FC finds and assigns a TrV to each SU, which is proportional to the correct reports over an observation period [ 33 ]. Almost all of TrV-based CSS schemes check the consistency of local reports through the FC’s global decision, including WSPRT mentioned above, but are carried out under a strong assumption that the FC is not compromised.…”

Section: Sequential Cooperative Spectrum Sensingmentioning

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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Jettison the Defectives: A Robust Cooperative Spectrum Sensing Scheme in a Cognitive Radio Network

Cited by 5 publications

References 30 publications

An Authentication Based Approach for Prevention of Spectrum Sensing Data Falsification Attacks in Cognitive Radio Network

An Authentication Based Approach for Prevention of Spectrum Sensing Data Falsification Attacks in Cognitive Radio Network

Reuse of Byzantine data in cooperative spectrum sensing using sequential detection

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

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