Reputation-based coalitional games for spectrum allocation in distributed Cognitive Radio networks

Pei, Qingqi; Ma, Lichuan; Li, Hongning; Yan, Dingyu; Li, Zhao

doi:10.1109/icc.2015.7249487

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…(3) How can we ensure the security and accuracy of collaborative sensing fusion results in the presence of malicious nodes? In the sensing task, if the behavior of SUs and their requirements for spectrum attributes were not paid attention to, the performance of CR would be reduced [40]. In this regard, reputation value can be set for each sensing node and given different weights [41].…”

Section: Related Work and Motivationmentioning

confidence: 99%

An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain

Xie

Chen

et al. 2021

Electronics

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Spectrum is a kind of non-reproducible scarce strategic resource. A secure wideband spectrum sensing technology provides the possibility for the next generation of ultra-dense, ultra-large-capacity communications to realize the shared utilization of spectrum resources. However, for the open collaborative sensing in cognitive radio networks, the collusion attacks of malicious users greatly affect the accuracy of the sensing results and the security of the entire network. To address this problem, this paper proposes a weighted fusion decision algorithm by using the blockchain technology. The proposed algorithm divides the single-node reputation into active reputation and passive reputation. Through the proposed token threshold concept, the active reputation is set to increase the malicious cost of the node; the passive reputation of the node is determined according to the historical data and recent performance of the blockchain. The final node weight is obtained by considering both kinds of reputation. The proposed scheme can build a trust-free platform for the cognitive radio collaborative networks. Compared with the traditional equal-gain combination algorithm and the centralized sensing algorithm based on the beta reputation system, the simulation results show that the proposed algorithm can obtain reliable sensing results with a lower number of assistants and sampling rate, and can effectively resist malicious users’ collusion attacks. Therefore, the security and the accuracy of cooperative spectrum sensing can be significantly improved in cognitive radio networks.

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Section: Related Work and Motivationmentioning

confidence: 99%

An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain

Xie

Chen

et al. 2021

Electronics

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“…By far, it has been applied to many scenarios, e.g., spectrum allocation in distributed cognitive radio networks in [35] and relay selection for cooperative cognitive radio networks in [34]. Inspired by the previous work, we formulate the problem proposed in this paper as a coalition formation game.…”

Section: Coalition Formation Gamementioning

confidence: 99%

Coalition Game-Based Secure and Effective Clustering Communication in Vehicular Cyber-Physical System (VCPS)

Huo

Dong

Jin

et al. 2017

Sensors

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In this paper, we address the low efficiency of cluster-based communication for the crossroad scenario in the Vehicular Cyber-Physical System (VCPS), which is due to the overload of the cluster head resulting from a large number of transmission bandwidth requirements. After formulating the issue as a coalition formation game, a coalition-based clustering strategy is proposed, which could converge into a Nash-stable partition to accomplish the clustering formation process. In the proposed strategy, the coalition utility is formulated by the relative velocity, relative position and the bandwidth availability ratio of vehicles among the cluster. Employing the coalition utility, the vehicles are denoted as the nodes that make the decision whether to switch to a new coalition or stay in the current coalition. Based on this, we can make full use of the bandwidth provided by cluster head under the requirement of clustering stability. Nevertheless, there exist selfish nodes during the clustering formation, so as to intend to benefit from networks. This behavior may degrade the communication quality and even destroy the cluster. Thus, we also present a reputation-based incentive and penalty mechanism to stop the selfish nodes from entering clusters. Numerical simulation results show that our strategy, CG-SECC, takes on a better performance for the tradeoff between the stability and efficiency of clustering communication. Besides, a case study demonstrates that the proposed incentive and penalty mechanism can play an important role in discovering and removing malicious nodes.

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Decentralized Privacy-Preserving Reputation Management for Mobile Crowdsensing

Pei

et al. 2019

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Reputation-based coalitional games for spectrum allocation in distributed Cognitive Radio networks

Cited by 6 publications

References 11 publications

An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain

An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain

Coalition Game-Based Secure and Effective Clustering Communication in Vehicular Cyber-Physical System (VCPS)

Decentralized Privacy-Preserving Reputation Management for Mobile Crowdsensing

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