Cooperation for secure broadcasting in cognitive radio networks

Gabry, Frédéric; Schrammar, Nicolas; Girnyk, Maksym A.; Li, Nan; Thobaben, Ragnar; Rasmussen, Lars K.

doi:10.1109/icc.2012.6364834

Cited by 17 publications

(11 citation statements)

References 9 publications

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“…Observe that (25b) is well presented in (12). It is now clear that the difficulty in solving (25) is due to (25c)-(25e) since the remaining constraints are convex and approximate convex. Instead of this, we can find a sub-optimal solution of (25) as follows maximize w,U,t,z,ϕ,φ,α,β ϕ (26a)…”

Section: B Optimization Problem Formulationmentioning

confidence: 90%

Enhancing PHY Security of Cooperative Cognitive Radio Multicast Communications

Nguyen

Duong

Shin

et al. 2017

IEEE Trans. Cogn. Commun. Netw.

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Abstract-In this paper, we propose a cooperative approach to improve the security of both primary and secondary systems in cognitive radio multicast communications. During their access to the frequency spectrum licensed to the primary users, the secondary unlicensed users assist the primary system in fortifying security by sending a jamming noise to the eavesdroppers, while simultaneously protect themselves from eavesdropping. The main objective of this work is to maximize the secrecy rate of the secondary system, while adhering to all individual primary users' secrecy rate constraints. In the case of active eavesdroppers and perfect channel state information (CSI) at the transceivers, the utility function of interest is nonconcave and the involved constraints are nonconvex, and thus, the optimal solutions are troublesome. To solve this problem, we propose an iterative algorithm to arrive at least to a local optimum of the original nonconvex problem. This algorithm is guaranteed to achieve a Karush-Kuhn-Tucker solution. Then, we extend the optimization approach to the case of passive eavesdroppers and imperfect CSI knowledge at the transceivers, where the constraints are transformed into a linear matrix inequality and convex constraints, in order to facilitate the optimal solution.

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Section: B Optimization Problem Formulationmentioning

confidence: 90%

Enhancing PHY Security of Cooperative Cognitive Radio Multicast Communications

Nguyen

Duong

Shin

et al. 2017

IEEE Trans. Cogn. Commun. Netw.

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“…[10] extends the work in [9] by considering the system model under a target physical layer security rate constraint. In [11], the trade-off between cooperation and secrecy in cognitive radio networks is studied. Achievable rate regions are presented with a constraint that primary transmitter has to be concealed from secondary receiver.…”

Section: Introductionmentioning

confidence: 99%

Secure Degrees of Freedom in K-Helper MIMO Cognitive Radio Systems with No Eavesdropper CSI

Lü

Tugnait

2015

2015 IEEE Globecom Workshops (GC Wkshps)

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Secure degrees of freedom (DoF) in MIMO cognitive radio system is studied in this paper. We consider a cognitive radio system with one primary source-destination pair, multiple secondary source-destination pairs and an eavesdropper against whom the primary user intends to secure its data. In this system, multiple secondary user pairs help to secure primary user's data against eavesdropping. In return, these secondary users are allowed to access primary user's spectrum. All users, including primary user pair, K ≥ 2 secondary user pairs and the eavesdropper are equipped with M antennas. We investigate the secure DoF without the knowledge of eavesdropper's channel state information (CSI). A beamforming design is proposed to achieve secure DoF d for primary user and DoF d for all secondary users if Kd ≤ M . Simulation examples corroborating the theoretical results are presented.Index Terms-Secure degrees of freedom, MIMO (multiple input multiple output), cognitive radio, interference alignment.

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“…In [10], [11], multi-antennas at the secondary transmitter were utilized to realize a beamforming that maximizes the secrecy capacity of secondary system while satisfying a peak interference constraint at the primary receiver. Cooperation between the secondary system and the primary system was proposed to improve the secrecy capacity of the primary system in [12]. A simple case with single antenna at eavesdropper was considered in [13], [14].…”

Section: Introductionmentioning

confidence: 99%

“…The assumption is reasonable in practice, when the data from the primary system is more attractive to the eavesdropper than the data from the secondary system [12]- [14]. We assume that the primary transmitter has only one antenna, which implies that the primary transmitter cannot generate a jamming signal to protect itself from eavesdropper.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, the primary system allows the secondary system to share the spectrum, and the secondary system sends jamming noise to the eavesdropper to protect the primary system in return. Assuming that the global CSI is perfectly known as in [8], [9], [11], [12], we design a beamforming to bear a jamming noise to maximize the secrecy capacity of the primary system. The main contributions of this paper are summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Physical Layer Security for Primary System: A Symbiotic Approach in Cooperative Cognitive Radio Networks

Nguyen¹,

Duong²,

Shin³

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we proposed a symbiotic approach for a secure primary network by allowing the secondary users to send the jamming noise to degrade the wiretap ability of the eavesdropper. In particular, assuming that the global channel state information is perfectly known at tranceivers, we consider the case of the primary transmitter equipped with only one antenna, which implies that the primary transmitter does not have beamforming capability. As the reward of having access to the frequency spectrum which is licensed by the the primary user, the secondary transmitter will assist the primary systems in terms of security by sending the jamming noise to the eavesdropper. We propose an algorithm to find the optimal transmit power for maximizing the secrecy capacity of the primary system. Numerical results are presented to validate our proposed scheme.

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Cooperation for secure broadcasting in cognitive radio networks

Cited by 17 publications

References 9 publications

Enhancing PHY Security of Cooperative Cognitive Radio Multicast Communications

Enhancing PHY Security of Cooperative Cognitive Radio Multicast Communications

Secure Degrees of Freedom in K-Helper MIMO Cognitive Radio Systems with No Eavesdropper CSI

Physical Layer Security for Primary System: A Symbiotic Approach in Cooperative Cognitive Radio Networks

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