Security Aspects in Software Defined Radio and Cognitive Radio Networks: A Survey and A Way Ahead

Baldini, Gianmarco; Sturman, Taj A.; Biswas, Abdur Rahim; Leschhorn, Ruediger; Gódor, Győző; Street, Michael D.

doi:10.1109/surv.2011.032511.00097

Cited by 173 publications

(93 citation statements)

References 69 publications

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“…Some of the threats are jamming of control channels, masquerading of primary or cognitive radio users, unauthorized use of spectrum, integrity of cognitive radio messages and the node itself etc. (Baldini, Sturman et al 2012). Fadlullah, Nishiyama et al (2013) have presented an intrusion detection system for CRAHN that identifies various types of anomalies based on a learning model.…”

Section: Research Issues In Crahnmentioning

confidence: 99%

A Study of Research Trends and Issues in Wireless Ad Hoc Networks

Islam¹,

Shaikh

2016

Mobile Computing and Wireless Networks

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Ad hoc network enables network creation on the fly without support of any predefined infrastructure. The spontaneous erection of networks in anytime and anywhere fashion enables development of various novel applications based on ad hoc networks. However, at the same ad hoc network presents several new challenges. Different research proposals have came forward to resolve these challenges. This chapter provides a survey of current issues, solutions and research trends in wireless ad hoc network. Even though various surveys are already available on the topic, rapid developments in recent years call for an updated account on this topic. The chapter has been organized as follows. In the first part of the chapter, various ad hoc network's issues arising at different layers of TCP/IP protocol stack are presented. An overview of research proposals to address each of these issues is also provided. The second part of the chapter investigates various emerging models of ad hoc networks, discusses their distinctive properties and highlights various research issues arising due to these properties. We specifically provide discussion on ad hoc grids, ad hoc clouds, wireless mesh networks and cognitive radio ad hoc networks. The chapter ends with presenting summary of the current research on ad hoc network, ignored research areas and directions for further research.Keywords: Ad hoc network, research issues, ad hoc grid, ad hoc cloud, wireless mesh network, cognitive radio ad hoc network INTRODUCTIONDuring last few years, extensive developments have been observed in the domain of wireless network. Different communication technologies i.e. general packet radio service (GPRS), enhanced data rates for GSM evolution (EDGE) and worldwide interoperability for microwave access (WIMAX) etc. have evolved and newer form of computing devices i.e. personal digital assistant (PDA), tablets and smart phones are appearing in the market. The wireless computing has progressed from 1G to 4G communication networks. During this progression, various modes of wireless networking have emerged. The simplest form of wireless networking is communication among two or more fixed hosts in open air. The conventional television system operates on this mode. Another approach is wireless networking with access point. There are different wireless hosts that are allowed to move while the basic infrastructure is supported by set of fixed nodes called base stations or access points. However, this approach doesn't provide the flexibility to be used in emergency situations requiring quick deployment or networking in adversarial surroundings. The evolution of technologies has lead to development a new mode of wireless networking where the nodes arrange themselves on the fly in the form of a network without any infrastructure support. Such networks are called ad hoc networks. Properties of ad hoc networkFormally, Ad hoc Network G(N,E) is defined as a collection of nodes N={n 1 ,n 2 ,n 3 ,…} connected by edges ‫ܧ‬ ⊆ ܰ × ܰ (Islam and Shaikh 2012). The nodes are us...

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Section: Research Issues In Crahnmentioning

confidence: 99%

A Study of Research Trends and Issues in Wireless Ad Hoc Networks

Islam¹,

Shaikh

2016

Mobile Computing and Wireless Networks

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“…The accuracy on detecting spectrum holes determines the efficiency of exploiting the spectrum. Thus, either sensing errors related to hardware outages [3], [4] or susceptibility to specialized attacks on the sensing functionality can result in significant performance degradation.…”

Section: Introductionmentioning

confidence: 99%

“…However, these security measures are not sufficient to preserve the correctness of spectrum sensing results against attacks and intrusions [4]. Preventive security mechanisms, as cryptography, provide confidentiality, integrity and authentication, but they are inefficient against data injection overload, interception, manipulation or impersonation attacks, such as Denial of Services (DoS), PU emulation (PUE) attacks and jamming.…”

Section: Introductionmentioning

confidence: 99%

“…Reactive security mechanisms, as intrusion detection systems (IDS), are based on network behavior analysis, or previously known attack patterns, being inflexible to handle unpredictable misbehaviors. Furthermore, since new communication technologies are more dynamic and adaptive, attacks are also becoming smarter, often bypassing common security mechanisms [4]. This paper presents a cooperative spectrum sensing framework to effectively provide resilience against both faults and attacks.…”

Section: Introductionmentioning

confidence: 99%

“…RELATED WORK Works in the literature plan to prevent, detect or mitigate attacks in cooperative spectrum sensing for CRNs [4], [5], [6]. In general, they focus mainly on network architectural aspects, such as the existence or not of a central entity, and, hence, result in restricted solutions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Resilient and multi-dimensional cooperative spectrum sensing on cognitive radio networks

Soto

Nogueira

Chowdhury

2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-While great strides have been made in spectrum sensing techniques in cognitive radio networks, these approaches are susceptible to unconventional attacks that may result in catastrophic performance degradation of the spectrum usage efficiency. For example, primary user emulation, intelligent jamming and denial of service for spectrum usage may impact the performance of classical spectrum sensing approaches. To address these challenges, this paper proposes a multi-dimensional cooperative sensing framework that can flexibly incorporate a variety of physical layer features to identify cases related to malicious behavior and genuine node failures. Though our approach is distributed, it is resilient in the sense that it does not simply rely on majority voting by a collection of nearby nodes. The key contributions of this paper are as follows: (i) A multiple criteria analysis technique and a non-parametric Bayesian inference method are formulated for identifying the spectrum holes that are least susceptible to malicious activity and failures, and (ii) Using real traces from the CRAWDAD data repository, we test our framework in a variety of practical settings, to prove the performance benefit of our approach.

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Cognitive Radio Networks

2009

Cognitive Radio Networks

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Security Aspects in Software Defined Radio and Cognitive Radio Networks: A Survey and A Way Ahead

Cited by 173 publications

References 69 publications

A Study of Research Trends and Issues in Wireless Ad Hoc Networks

A Study of Research Trends and Issues in Wireless Ad Hoc Networks

Resilient and multi-dimensional cooperative spectrum sensing on cognitive radio networks

Cognitive Radio Networks

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