Securing cognitive radio networks

LeónO.,; Hernández-Serrano, Juan; SorianoM.,

doi:10.1002/dac.1102

Cited by 80 publications

(68 citation statements)

References 30 publications

(30 reference statements)

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“…The specific features of CRNs entail several new threats [3], but one is now standing out from the rest: the primary user emulation (PUE) attack. In this attack an entity pretends to be a primary user or incumbent by transmitting a signal with similar characteristics to a primary signal or replaying a real one, thus preventing secondary users from using a vacant band.…”

Section: Introductionmentioning

confidence: 99%

A New Method to Detect Primary User Emulation Attacks in Cognitive Radio Networks

Peng¹,

Zeng²,

Qing-guang³

2014

Proceedings of the 3rd International Conference on Computer Science and Service System

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Abstract-Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. However, the security aspects of cognitive radio networks have garnered little attention. In this paper, we identify a threat to cognitive radio networks, which we call the primary user emulation (PUE) attack. To counter this threat, we proposed a new method to detect the PUE attacks which not only discuss in two kinds of situation which the primary user is stationary or mobile, but also use the Kalman filter algorithm to process the received mobile source's signal strength (RSS) value. And then, we apply with the BP neural network training and testing to complete the detection of PUE attacks. Simulations results show the goodness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

A New Method to Detect Primary User Emulation Attacks in Cognitive Radio Networks

Peng¹,

Zeng²,

Qing-guang³

2014

Proceedings of the 3rd International Conference on Computer Science and Service System

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“…Although there are a few proposals on CRNs [4], most research has focused on the on-going standard IEEE 802.22 [3] for Wireless Regional Area Networks (WRANs). This standard defines a centralized CRN operating in a point-tomultipoint basis, formed by a a base station and a set of nodes attached to the base station via a wireless link.…”

Section: Introductionmentioning

confidence: 99%

Towards a Cooperative Intrusion Detection System for Cognitive Radio Networks

León

Román

Hernández-Serrano

2011

NETWORKING 2011 Workshops

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Abstract. Cognitive Radio Networks (CRNs) arise as a promising solution to the scarcity of spectrum. By means of cooperation and smart decisions influenced by previous knowledge, CRNs are able to detect and profit from the best spectrum opportunities without interfering primary licensed users. However, besides the well-known attacks to wireless networks, new attacks threat this type of networks. In this paper we analyze these threats and propose a set of intrusion detection modules targeted to detect them. Provided method will allow a CRN to identify attack sources and types of attacks, and to properly react against them.

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“…Although cognitive radio is similar to the traditional wireless network, using a wireless medium instead of a wire to transmit information, it faces different vulnerabilities, which has resulted in the discarding of the communication process among end users [41][42]. These vulnerabilities can leads to varied threats, which can be classified into two different categories: the first relates to common security threats in both conventional wireless and CR networks, and the second category is specific to CRN users.…”

Section: Security Threatsmentioning

confidence: 99%

Spectrum Sharing Security and Attacks in CRNs: a Review

Alhakami¹,

Mansour²,

Safdar³

2014

IJACSA

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Abstract-Cognitive Radio plays a major part in communication technology by resolving the shortage of the spectrum through usage of dynamic spectrum access and artificial intelligence characteristics. The element of spectrum sharing in cognitive radio is a fundamental approach in utilising free channels. Cooperatively communicating cognitive radio devices use the common control channel of the cognitive radio medium access control to achieve spectrum sharing. Thus, the common control channel and consequently spectrum sharing security are vital to ensuring security in the subsequent data communication among cognitive radio nodes. In addition to well known security problems in wireless networks, cognitive radio networks introduce new classes of security threats and challenges, such as licensed user emulation attacks in spectrum sensing and misbehaviours in the common control channel transactions, which degrade the overall network operation and performance. This review paper briefly presents the known threats and attacks in wireless networks before it looks into the concept of cognitive radio and its main functionality. The paper then mainly focuses on spectrum sharing security and its related challenges. Since spectrum sharing is enabled through usage of the common control channel, more attention is paid to the security of the common control channel by looking into its security threats as well as protection and detection mechanisms. Finally, the pros and cons as well as the comparisons of different CR-specific security mechanisms are presented with some open research issues and challenges.

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Securing cognitive radio networks

Abstract: Postprint (published version

Cited by 80 publications

References 30 publications

A New Method to Detect Primary User Emulation Attacks in Cognitive Radio Networks

A New Method to Detect Primary User Emulation Attacks in Cognitive Radio Networks

Towards a Cooperative Intrusion Detection System for Cognitive Radio Networks

Spectrum Sharing Security and Attacks in CRNs: a Review

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