Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

Banerjee, Avik; Maity, Santi P.

doi:10.1002/ett.3567

Cited by 11 publications

(15 citation statements)

References 44 publications

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“…Let 𝜌 represent the malicious ratio, for simplicity, all MUs are assumed to be equipped with the same attack capability, that is, Pf ,i = Pf and Pm,i = Pm . Following (13), we have the following result…”

Section: Blind Problemmentioning

confidence: 98%

“…12 Though CSS performed by several SUs has the advantage of providing a more reliable decision about the PU, there is also the disadvantage of providing an opportunity for malicious users (MUs) to participate in cooperative sensing. In CRNs, there are two representative kinds of malicious attack, such as, primary user emulation attack (PUEA) where MUs imitates the PU to transmit a signal to mislead the SU's spectrum sensing behavior 13 and spectrum sensing data falsification (SSDF) attack where MUs will send falsified spectrum sensing data to the data fusion center (DFC), and then prevent other SUs from accessing the channel for transmitting data, or induce them to use the channel being utilized by the PU and interfere with it. 14 Among two main threats of CSS, SSDF is of our concern and this attack process is also known as Byzantine attack.…”

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confidence: 99%

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Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attack

Chen

Gan

et al. 2021

Trans Emerging Tel Tech

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Cognitive radio (CR) is regarded as a powerful technology to solve the problem of spectrum shortage and underutilization. As a key function of CR technology, cooperative spectrum sensing (CSS) allows secondary users (SUs) to detect the primary user (PU)'s signal so that they identify and opportunistically access the available spectrum. However, the openness of CSS paradigm makes cognitive radio networks (CRNs) suffer from Byzantine attack, thereby undermining the premise of CR framework. To this aim, we formulate a probabilistic hard Byzantine attack model, in which malicious users (MUs) can conduct various attack strategies, and make an in‐depth investigation on the blind scenario. On the one hand, in order to ensure the robustness of CSS, a method to evaluate the reliability of the secondary user (SU)'s sensing result based on the channel status detection is proposed and an innovative weight coefficient is considered to selectively utilize the sensing information from MUs. On the other hand, we design a sequential fusion method based on reputation value (RV) and differential mechanism, with the aim of improving the efficiency of CSS. According to above methods and mechanism, the weighted differential sequential symbol (WDS2) algorithm is designed, which integrates the weight evaluation into sequential method to make the global decision for CSS. Finally, compared to the existing various data fusion algorithms, simulation results show that the proposed WDS2 not only defends against various Byzantine attacks to secure the robustness of CSS, but also requires less samples in support of an accurate global decision to improve the efficiency of CSS.

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Section: Blind Problemmentioning

confidence: 98%

mentioning

confidence: 99%

Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attack

Chen

Gan

et al. 2021

Trans Emerging Tel Tech

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show abstract

“…The OR guideline compared with n = 1 instance, then the AND standard compared with n = k instance. It accepts while contrasted, better modes from any CR to fundamental transmitter, the segmentation amid any two intellectual radios are smaller than they are practically in distinguishable with the target they have identified at each subjective radio encounter 23,49,50 …”

Section: Problem Definitionmentioning

confidence: 99%

“…This method is used to reduce the primary user emulation attack (PUEA) that is primary attacking the CSS method. Some malicious attacks may enter into the channel, these are reduces the performance of the CSS 23 . Here attacks are affected in CSS due to hidden terminal problem that happens when shadowed the cognitive radio in severe multiple path fading or inside buildings with high penetration loss, while operating near the primary user (PU) 4 .…”

Section: Introductionmentioning

confidence: 99%

Evaluation of cooperative spectrum sensing with filtered bank multi carrier utilized for detecting in cognitive radio network

Perarasi¹,

Nagarajan

Gayathri³

et al. 2022

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Cognitive radio (CR) is defined as a procedure that uses the range with and without impedance. Elements of psychological radio systems incorporate spectrum sensing, spectrum sharing, spectrum mobility and spectrum decision. This manuscript proposes cooperative spectrum sensing (CSS) with filtered bank multi carrier (FBMC) in cognitive radio network (CRN) for mitigating the interference with proficient bandwidth utilization. Here, five primary users (PU) and one secondary user (SU) are considered. The secondary user occupies the slot only in the absence of primary user. During cooperative spectrum sensing with FBMC evaluation, it produces problem in hidden terminal, false alert and auxiliary client identification with effective radio spectrum sharing for the secondary users, which automatically reduces the channel capacity, energy efficiency, and channel interference. To overcome the issues, optimal red deer algorithm (ORDA) is used in FBMC Weight parameters. The proposed method is executed in MATLAB platform. The simulation outcomes demonstrate that the performance of the proposed CSS-FBMC-ORDA has high efficiency with less error rate. The proposed CSS-FBMC-ORDA attains higher efficiency of 3.99%, 8.90%, and 4.09%, higher reliability of 5.66%, 9.44%, and 2.43%, lower bit error rate (BER) of 4.756%, 4.86%, and 8.97% when compared with the existing methods, such as spectrum resource optimization for non-orthogonal multiple access (NOMA) based cognitive radio at 5G communications joint optimization algorithm (JOA) (CSS-CRN-NOMA-JOA), maximizing the total throughput for generalized frequency division multiplexing (GFDM) system using hybrid particle swarm optimization (PSO)-pattern search (PSO-PS) approach (CSS-CRN-GFDM-Hyb PSO-PS), energy efficiency for various spectrum sensing scenarios using a novel hybridization of particle swarm optimization (PSO) with gravitational search algorithm (GSA) (CSS-CRN-OFDM-Hybrid PSO-GSA) respectively.

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“…PARK et al [10] The "Analysis and Comparison of Different Fuzzy Inference Systems Used in Decision Making for Secondary Users in Cognitive Radio Network" is presented by Tripathi, et al [11] and Banerjee et al [12] provides the "Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization. "…”

Section: Related Workmentioning

confidence: 99%

Performance Enhancements of Cognitive Radio Networks Using the Improved Fuzzy Logic

Darney¹,

Jacob²

2019

JSCP

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The rapid increase in the mobile device and the different types of wireless communication has led to the necessity of the extra spectrum allocation for the proper transmission of the information. Since the additional spectrum allocation for every network involved in the data transmission is a strenuous process, the efficient management of the spectrum allocation is preferred. The cognitive radio technology does a befitting service in the managing the allocation of the spectrum efficiently by providing the vacant spaces of the licensed users to the secondary users and vacating the secondary users when the licensed user request for the spectrum. This results in the deterioration in the performance of the secondary users due to the immediate evacuating. The conventional methods in the deciding the channel switching remains unsuitable for the cognitive radio network, so to have an effective decision on switching and selecting the channel the paper put forth the improved fuzzy logic that relies on the decision (IFDSS-GA) support system to handle both the switching of the channels and genetic algorithm to select the proper spectrum for conveyance. The evaluation of the proposed approach using the network simulator -2 determines the competency the IFDSS in terms of the throughput and switching rate.

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Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

Cited by 11 publications

References 44 publications

Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attack

Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attack

Evaluation of cooperative spectrum sensing with filtered bank multi carrier utilized for detecting in cognitive radio network

Performance Enhancements of Cognitive Radio Networks Using the Improved Fuzzy Logic

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