Cooperative detection of primary user emulation attacks in CRNs

León, Olga; Hernández-Serrano, Juan; Soriano, Miguel

doi:10.1016/j.comnet.2012.05.008

Cited by 23 publications

(13 citation statements)

References 17 publications

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“…For example, Yuan et al [44] only consider the possibility of television transmitters in their proposal, i.e., PUs with fixed and known PU locations. The cooperative solution that is proposed by León, Hernández-Serrano, and Soriano [54], which specifically targets centralized IEEE 802.22 networks, is based on the same assumption and thus cannot cope with the emulation of PUs that have unknown locations (e.g., wireless microphones), despite its ability to precisely determine the locations of received signals. Blesa et al [55] state that countermeasures based on geo-location are not appropriate for scenarios with mobile PUs and SUs, and, according to Araujo et al [42], mobile attackers can take advantage of their mobility in order to remain undetected.…”

Section: Location-and Distance-based Approachesmentioning

confidence: 99%

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Marinho

Granjal

Monteiro

2015

EURASIP J. on Info. Security

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Currently, there are several ongoing efforts for the definition of new regulation policies, paradigms, and technologies aiming a more efficient usage of the radio spectrum. In this context, cognitive radio (CR) emerges as one of the most promising players by enabling the dynamic access to vacant frequency bands on a non-interference basis. However, the intrinsic characteristic of CR opens new ways for attackers, namely in the context of the effective detection of incumbent or primary users (PUs), the most fundamental and challenging requirement for the successful operation of CR networks. In this article, we provide a global and integrated vision of the main threats affecting CR environments in the context of the detection of primary users, with a particular focus on spectrum sensing data falsification and primary user emulation attacks. We also address solutions and research challenges still required to address such threats. Our discussion aims at being complete and self-contained, while also targeting readers with no specific background on this important topic of CR environments. It is, as far as our knowledge goes, the first work providing a global and clear vision of security threats and countermeasures in the context of primary user detection in CR.

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Section: Location-and Distance-based Approachesmentioning

confidence: 99%

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Marinho

Granjal

Monteiro

2015

EURASIP J. on Info. Security

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“…One of the possible applications of TRM is to detect PUE attacks. Various non‐TRM approaches have been proposed to counter PUE attacks such as the following: (1) time difference of arrival applied to estimate the position of a PUE attacker ; (2) belief propagation algorithm applied to detect PUE attackers by comparing the received signal power from its neighbors and that from the PU ; (3) transmitter verification scheme applied to determine whether a given signal is from an honest or malicious PU, and this is carried out by estimating its location and observing its signal characteristics ; (4) a cryptographic link signature can be incorporated into PUs' signal so that channel usage by PUs can be authenticated ; and (5) a hybrid approach of energy detection, cyclostationary feature calculation and artificial neural networks can be applied to detect PUE attacks A(3.4) .…”

Section: Open Issuesmentioning

confidence: 99%

Trust and reputation management in cognitive radio networks: a survey

Ling

Yau

Poh

2013

Security Comm Networks

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Cognitive radio (CR), which is the next generation wireless communication system, enables unlicensed users or secondary users (SUs) to exploit underutilized spectrum (called white spaces) owned by the licensed users or primary users (PUs) so that bandwidth availability improves at the SUs, which helps to improve overall spectrum utilization. Collaboration is an intrinsic characteristic of CR to improve network performance. For instance, in collaborative spectrum sensing, SU hosts generate sensing outcomes, and collaborate amongst themselves through making final decisions at a decision fusion center in order to improve the accuracy of spectrum sensing. The requirement to collaborate has inevitably opened doors to various forms of attacks by malicious SUs, and this critical issue can be addressed using trust and reputation management (TRM), and so this is the focus of this article. Generally speaking, TRM detects malicious SUs, including honest SUs that turn malicious. Hence, TRM is of paramount importance in most kinds of schemes that require collaboration in CR networks. Our contribution in this article is as follows. This article provides an extensive survey on the application of TRM in various schemes in CR networks in order to ameliorate the effects of malicious SUs in collaboration. The discussion is presented with respect to a TRM taxonomy, various approaches to achieve TRM, various attack models, as well as the challenges and characteristics associated with TRM. Because of the significance of TRM in collaboration, this article presents a wide range of open issues to warrant further research in this area. Copyright © 2013 John Wiley & Sons, Ltd.

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“…The first category assumes that the PU location is known for the CR users. Therefore, the aim is to determine the location of signal transmitter and compare if with the PU location [9][10][11]. The second one is looking for unique properties of the transmitter such as transient time characteristics [12], local oscillator phase noise [13], etc.…”

Section: Introductionmentioning

confidence: 99%

Cooperative spectrum sensing in the presence of primary user emulation attack in cognitive radio network: multi-level hypotheses test approach

Sharifi

Niya

2016

Wireless Netw

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The inherent nature of cognitive radio (CR) networks has brought new threats to wireless communications. Primary user emulation attack (PUEA) has been widely studied as a serious threat to cooperative spectrum sensing (CSS) in CR networks. In PUEA, a malicious user can obstruct CR users from accessing idle frequency bands by imitating licensed primary user (PU) signal characteristics. The present study introduces a new CSS scheme in the presence of a malicious PUEA based on multi-level hypothesis testing (MLHT). In the proposed method, generalizing from binary hypothesis testing to MLHT, we partition the decision space to four decision options and apply minimum Bayes cost criteria to determine the channel status. We also discuss practical limitation issues that need to be considered when applying the MLHT approach. Simulation results are provided to indicate the performance improvement of the proposed MLHT method against PUEA, compared with the conventional method.

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Cooperative detection of primary user emulation attacks in CRNs

Cited by 23 publications

References 17 publications

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

A survey on security attacks and countermeasures with primary user detection in cognitive radio networks

Trust and reputation management in cognitive radio networks: a survey

Cooperative spectrum sensing in the presence of primary user emulation attack in cognitive radio network: multi-level hypotheses test approach

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