Trusted Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks

Jana, Susovan; Zeng, Kai; Cheng, Wei; Mohapatra, Prasant

doi:10.1109/tifs.2013.2273305

Cited by 55 publications

(33 citation statements)

References 14 publications

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“…Deshpande et al propose the disengagement of mobile clients from scanning via the utilization of historical RSSI values at revisited locations [4]. In cognitive networks that operate in channels exhibiting identical propagation characteristics, mobile secondary users opportunistically access spectrum that is not occupied by primary users [19] and enable collaborative spectrum sensing [20].…”

Section: Maws Vs Alternatives For Mobile Accessmentioning

confidence: 99%

Mobile Access of Wide-Spectrum Networks: Design, deployment and experimental evaluation

Giannoulis

Patras

Knightly

2013

2013 Proceedings IEEE INFOCOM

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Wireless networks increasingly utilize diverse spectral bands that exhibit vast differences in both transmission range and usage. In this work, we present MAWS (Mobile Access of Wide-Spectrum Networks), the first scheme designed for mobile clients to evaluate and select both APs and spectral bands in wide-spectrum networks. Because of the potentially vast number of spectrum and AP options, scanning may be prohibitive. Consequently, our key technique is for clients to infer channel quality and spectral usage for their current location and bands using limited measurements collected in other bands and at other locations. We experimentally evaluate MAWS via a widespectrum network that we deploy, a testbed providing access to four bands at 700 MHz, 900 MHz, 2.4 GHz and 5 GHz. To the best of our knowledge, the spectrum of these bands is the widest to be spanned to date by a single operational access network.A key finding of our evaluation is that under a diverse set of operating conditions, mobile clients can accurately predict their performance without a direct measurement at their current location and spectral bands.

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Section: Maws Vs Alternatives For Mobile Accessmentioning

confidence: 99%

Mobile Access of Wide-Spectrum Networks: Design, deployment and experimental evaluation

Giannoulis

Patras

Knightly

2013

2013 Proceedings IEEE INFOCOM

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“…And each trust model is described in detail. Reference [6] describes the security of cooperative spectrum sensing in distributed CRNs and considers combining the location reliability and malicious intention as a method for trust measurement to increase the success rate of detecting malicious nodes. The double reputation trust management in CRNs is proposed in [7] to govern SUs.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Trust Threshold Value Based on Market Theory in Cognitive Radio Networks

Pei

Wang

2013

2013 5th International Conference on Intelligent Networking and Collaborative Systems

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In Cognitive radio networks (CRNs) the primary users(PUs) and secondary users(SUs) share the spectrum resource, which can be an effective solution to the problem that the existing network spectrum utilization is not high. Therefore, to correctly sense whether the spectrum is idle or not is an important prerequisite for spectrum sharing. Spectrum sensing requires the secondary users to cooperate in sensing and report the sensed data. Therefore the CRN is subject to sensed data tampering and primary user emulation. The trustiness of the SUs is, therefore, very important. In this paper, the trust management is introduced to solve the problem of the trustiness of the SUs. A method of trust threshold value judgment is proposed for selecting the trust threshold in trust management. And the threshold will be a standard of the trustiness of SUs. Market equilibrium in the market theory is adopted. The demand function and supply function are built to find the trust value at the market equilibrium point. With the Beta distribution, the ultimate threshold will be given so that it can ensure the fairness of the SUs.

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“…RELATED WORK SSDF attacks [6] under the centralized network model with SUs are studied in literature [7]- [9]. In [7], authors presented a framework to collect spectrum sensing data from diverse sources in a grid of square cells.…”

Section: Introductionmentioning

confidence: 99%

“…Authors in [8] proposed outlier detection techniques without complete information of a PU and plenty of sensing data samples to identify malicious SUs. A trust-based collaborative spectrum sensing scheme was presented in [9], in which authors utilized Location Reliability and Malicious Intention as two trust measurements when spectrum sensing data are fused and decisions are made in a center.…”

Section: Introductionmentioning

confidence: 99%

A trust based framework for both spectrum sensing and data transmission in CR-MANETs

Wei

Tang²,

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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Distributed cooperative spectrum sensing is an effective and feasible approach to detect primary users in Cognitive Radio Mobile Ad Hoc NETworks (CR-MANETs). However, due to the dynamic and interdependent characteristics of this approach, malicious attackers can interrupt the normal spectrum sensing more easily in open environments by spectrum sensing data falsification attacks. Meanwhile, attackers can perform traditional attacks to data transmission in MANETs. Towards these complicated situations in CRMANETs, we study a new type of attack named joint dynamic spectrum sensing and data transmission attack in this paper. We propose a trust based framework to protect both distributed cooperative spectrum sensing and data transmission. For protection of distributed cooperative spectrum sensing, a weightedaverage consensus algorithm with trust is applied to degrade the impact of malicious secondary users. At the same time, data transmission in a network formed by secondary users can be protected by trust with direct and indirect observations. Simulation results show the effectiveness and performance of the proposed framework under different experimental scenarios.Index Terms-Cognitive radio mobile ad hoc networks (CRMANETs), trust, spectrum sensing.

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Trusted Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks

Cited by 55 publications

References 14 publications

Mobile Access of Wide-Spectrum Networks: Design, deployment and experimental evaluation

Mobile Access of Wide-Spectrum Networks: Design, deployment and experimental evaluation

Dynamic Trust Threshold Value Based on Market Theory in Cognitive Radio Networks

A trust based framework for both spectrum sensing and data transmission in CR-MANETs

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