{"title":"基于信任辅助的认知无线电车载自组织网络协同频谱感知","authors":"Zhexiong Wei, F. Yu, A. Boukerche","doi":"10.1145/2815347.2815350","DOIUrl":null,"url":null,"abstract":"As Vehicular Ad hoc Networks (VANETs) attract a lot of research attention, VANETs with Cognitive Radio (CR-VANETs) are also studied as supplement and enhancement of VANETs, which are used to solve the issues of spectrum shortage in VANETs. With this CR technology, VANETs can satisfy more bandwidth demanding for amounts of applications based on communication between vehicles. Cooperative spectrum sensing is naturally suitable for CR-VANETs due to its autonomous characteristic. Cooperative spectrum sensing opens a door for malicious attacks in spectrum sensing. It assumes that every vehicle in the network is always honest and benign. However, the security attacks exist in all kinds of networks. Thus, solving this security issue becomes critical for CR-VANETs, which are using cooperative spectrum sensing. In this paper, a distributed cooperative spectrum sensing scheme is proposed to solve the security issue in CR-VANETs. In this scheme, a weighted consensus-based spectrum sensing algorithm with trust assistance is used to protect the spectrum sensing process in a hostile CR-VANET. The effectiveness of the proposed scheme is validated by extensive simulations.","PeriodicalId":329392,"journal":{"name":"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Cooperative Spectrum Sensing with Trust Assistance for Cognitive Radio Vehicular Ad hoc Networks\",\"authors\":\"Zhexiong Wei, F. Yu, A. Boukerche\",\"doi\":\"10.1145/2815347.2815350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As Vehicular Ad hoc Networks (VANETs) attract a lot of research attention, VANETs with Cognitive Radio (CR-VANETs) are also studied as supplement and enhancement of VANETs, which are used to solve the issues of spectrum shortage in VANETs. With this CR technology, VANETs can satisfy more bandwidth demanding for amounts of applications based on communication between vehicles. Cooperative spectrum sensing is naturally suitable for CR-VANETs due to its autonomous characteristic. Cooperative spectrum sensing opens a door for malicious attacks in spectrum sensing. It assumes that every vehicle in the network is always honest and benign. However, the security attacks exist in all kinds of networks. Thus, solving this security issue becomes critical for CR-VANETs, which are using cooperative spectrum sensing. In this paper, a distributed cooperative spectrum sensing scheme is proposed to solve the security issue in CR-VANETs. In this scheme, a weighted consensus-based spectrum sensing algorithm with trust assistance is used to protect the spectrum sensing process in a hostile CR-VANET. The effectiveness of the proposed scheme is validated by extensive simulations.\",\"PeriodicalId\":329392,\"journal\":{\"name\":\"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2815347.2815350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2815347.2815350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
摘要
随着车载自组织网络(Vehicular Ad hoc Networks, VANETs)的研究日益受到关注,认知无线电(Cognitive Radio, CR-VANETs)作为VANETs的补充和增强,被用于解决车载自组织网络频谱不足的问题。利用这种CR技术,VANETs可以满足基于车辆之间通信的大量应用对带宽的需求。协同频谱感知由于其自主特性,自然适合于cr - vanet。协同频谱感知为频谱感知中的恶意攻击打开了大门。它假设网络中的每辆车都是诚实和良性的。然而,各种类型的网络都存在着安全攻击。因此,解决这一安全问题对于使用协同频谱感知的cr - vanet至关重要。本文提出了一种分布式协同频谱感知方案,以解决cr - vanet中的安全问题。在该方案中,采用基于加权共识的频谱感知算法,并结合信任辅助来保护敌对CR-VANET中的频谱感知过程。大量的仿真结果验证了该方案的有效性。
Cooperative Spectrum Sensing with Trust Assistance for Cognitive Radio Vehicular Ad hoc Networks
As Vehicular Ad hoc Networks (VANETs) attract a lot of research attention, VANETs with Cognitive Radio (CR-VANETs) are also studied as supplement and enhancement of VANETs, which are used to solve the issues of spectrum shortage in VANETs. With this CR technology, VANETs can satisfy more bandwidth demanding for amounts of applications based on communication between vehicles. Cooperative spectrum sensing is naturally suitable for CR-VANETs due to its autonomous characteristic. Cooperative spectrum sensing opens a door for malicious attacks in spectrum sensing. It assumes that every vehicle in the network is always honest and benign. However, the security attacks exist in all kinds of networks. Thus, solving this security issue becomes critical for CR-VANETs, which are using cooperative spectrum sensing. In this paper, a distributed cooperative spectrum sensing scheme is proposed to solve the security issue in CR-VANETs. In this scheme, a weighted consensus-based spectrum sensing algorithm with trust assistance is used to protect the spectrum sensing process in a hostile CR-VANET. The effectiveness of the proposed scheme is validated by extensive simulations.