A Novel Evolutionary-Based Cooperative Spectrum Sensing Mechanism for Cognitive Radio Networks

Akbari, Mohsen; Ghanbarisabagh, Mohammad

doi:10.1007/s11277-014-1915-8

Cited by 16 publications

(12 citation statements)

References 21 publications

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“…Cognitive radio (CR) is considered as a feasible intelligent technology for 5G wireless networks or self-organisation networks and envisioned as a promising paradigm of exploiting intelligence for enhancing efficiency of underutilised spectrum bands [1]. According to the Federal Communications Commission (FCC) research, CR is defined as radio systems that continuously perform spectrum sensing, dynamically identify unused spectrum, and then operate in those spectrum holes where the licenced radio systems are idle.…”

Section: Introductionmentioning

confidence: 99%

Reuse of Byzantine data in cooperative spectrum sensing using sequential detection

Song

et al. 2020

IET Communications

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Section: Introductionmentioning

confidence: 99%

Reuse of Byzantine data in cooperative spectrum sensing using sequential detection

Song

et al. 2020

IET Communications

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“…Federal Communications Commission (FCC) research has proved that the main reason for the scarcity of spectrum is the underutilization of the frequency spectrum by the licensed users either temporally or spatially. To improve spectrum utilization and solve the problem of spectrum shortage, cognitive radio (CR) has been widely considered as one of the most promising technologies that can offer a support for the increasing demand for spectrum availability [ 1 ]. In cognitive radio networks (CRNs), there are two types of users: primary users (PUs) and secondary users (SUs), and they have different priorities for spectrum access.…”

Section: Introductionmentioning

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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“…Wireless networks make use of the GA due to its well-known and remarkable generality and versatility and have been applied in a wide variety of settings in wireless communication networks [40]. The work in [41,42] focuses on the optimization of probability of detection and false alarm in CRN to minimize probability of error of a particular SU in a centralized CRN with GA.…”

Section: Introductionmentioning

confidence: 99%

Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm

Gul

Qureshi

Elahi

et al. 2018

International Journal of Antennas and Propagation

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In cognitive radio network (CRN), secondary users (SUs) try to sense and utilize the vacant spectrum of the legitimate primary user (PU) in an efficient manner. The process of cooperation among SUs makes the sensing more authentic with minimum disturbance to the PU in achieving maximum utilization of the vacant spectrum. One problem in cooperative spectrum sensing (CSS) is the occurrence of malicious users (MUs) sending false data to the fusion center (FC). In this paper, the FC takes a global decision based on the hard binary decisions received from all SUs. Genetic algorithm (GA) using one-to-many neighbor distance along with z-score as a fitness function is used for the identification of accurate sensing information in the presence of MUs. The proposed scheme is able to avoid the effect of MUs in CSS without identification of MUs. Four types of abnormal SUs, opposite malicious user (OMU), random opposite malicious user (ROMU), always yes malicious user (AYMU), and always no malicious user (ANMU), are discussed in this paper. Simulation results show that the proposed hard fusion scheme has surpassed the existing hard fusion scheme, equal gain combination (EGC), and maximum gain combination (MGC) schemes by employing GA.

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A Novel Evolutionary-Based Cooperative Spectrum Sensing Mechanism for Cognitive Radio Networks

Cited by 16 publications

References 21 publications

Reuse of Byzantine data in cooperative spectrum sensing using sequential detection

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

Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm

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