A Scheme for Trustworthy Friendly Jammer Selection in Cooperative Cognitive Radio Networks

Wen, Yingyou; Huo, Yan; Ma, Liran; Jing, Tao; Gao, Qinghe

doi:10.1109/tvt.2019.2895639

Cited by 38 publications

(19 citation statements)

References 37 publications

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“…Wang et al [34] evaluated the trust degree of potential jammers and designed an algorithm to select a jammer and allocate transmission power to achieve secrecy-oriented D2D cooperation. Similarly, Wen et al [35] investigated the influence of node reputation on the secrecy performance and proposed a scheme for trustworthy-friendly jammer selection in perfect and statistical CSI scenarios. Wang et al [36] formulated a double-gamma-ratio approach to describe social trust degree and obtained closed forms of connection outage probability and secrecy outage probability.…”

Section: Related Workmentioning

confidence: 99%

A cross-layer cooperative jamming scheme for social internet of things

Huo

Fan

Wen

et al. 2021

Tinshhua Sci. Technol.

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Section: Related Workmentioning

confidence: 99%

A cross-layer cooperative jamming scheme for social internet of things

Huo

Fan

Wen

et al. 2021

Tinshhua Sci. Technol.

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“…Extensive efforts have been devoted to study the security issues of CR networks from a physical layer perspective [13]- [17]. For example, [13] and [14] aim to maximize the achievable ergodic secrecy rate of the secondary transmission.…”

Section: B Related Work 1) Terrestrial Networkmentioning

confidence: 99%

Cognitive NOMA for UAV-Enabled Secure Communications: Joint 3D Trajectory Design and Power Allocation

Tang

2020

IEEE Access

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In the paper, we investigate the physical layer security (PLS) of an unmanned aerial vehicle (UAV) enabled communication system that integrates non-orthogonal multiple access (NOMA) with cognitive radio (CR), namely CR-NOMA. Specifically, the secondary UAV transmits confidential information to multiple secondary legitimate receivers with NOMA by sharing the spectrum with the primary networks, while an eavesdropper (Eve) attempts to wiretap the communication. We aim to jointly optimize the three-dimensional (3D) UAV trajectory and power allocation to maximize the worst-case average secrecy sum rate of all secondary receivers (SRs) while keeping the interference to primal receivers (PRs) below a certain threshold. The formulated problem is mixed-binary non-convex and is generally NP-hard. To address this issue, we first equivalently transform the binary variables into continuous ones by introducing tractable inequality constraints. Then, we decompose the optimization problem into two subproblems and develop an efficient iterative algorithm based on the successive convex approximate (SCA) technique, block coordinate descent (BCD) technique, and penalty function method. Numerical results are extensively studied to show that the proposed joint design significantly outperforms the benchmark schemes in terms of secrecy rate. INDEX TERMS UAV communications, physical layer security, NOMA, cognitive radio, 3D trajectory design, power allocation.

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“…To counter eavesdropping, a friendly jammer in the network sent out artificial noise (AN) to specifically interfere with Eve's reception so that the transmitted message could not be decoded. References [26,27] introduced how to choose friendly jammers efficiently. In [28,29], cooperative jamming-aided secure communication for SWIPT networks was studied, where the jammer could help the source to increase the harvested energy by the energy receiver.…”

Section: Related Workmentioning

confidence: 99%

“…In this paper, both SWIPT and cooperative jamming technics were adopted in the multi-radio WMN to enhance its power consumption and physical layer security performance, respectively. While [20][21][22][23][24] only adopted the SWIPT, [25][26][27] only adopted the cooperative jamming. Although [28][29][30][31] proposed some beamforming method, considering both SWIPT and cooperative jamming, all of them were designed for the cognitive radio system.…”

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confidence: 99%

Robust Beamforming Design for SWIPT-Based Multi-Radio Wireless Mesh Network with Cooperative Jamming

Zhao

Geng

et al. 2020

Information

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Wireless mesh networks (WMNs) can provide flexible wireless connections in a smart city, internet of things (IoT), and device-to-device (D2D) communications. The performance of WMNs can be greatly enhanced by adopting a multi-radio technique, which enables a node to communicate with more nodes simultaneously. However, multi-radio WMNs face two main challenges, namely, energy consumption and physical layer secrecy. In this paper, both simultaneous wireless information and power transfer (SWIPT) and cooperative jamming technologies were adopted to overcome these two problems. We designed the SWIPT and cooperative jamming scheme, minimizing the total transmission power by properly selecting beamforming vectors of the WMN nodes and jammer to satisfy the individual signal-to-interference-plus-noise ratio (SINR) and energy harvesting (EH) constrains. Especially, we considered the channel estimate error caused by the imperfect channel state information. The SINR of eavesdropper (Eve) was suppressed to protect the secrecy of WMN nodes. Due to the fractional form, the problem was proved to be non-convex. We developed a tractable algorithm by transforming it into a convex one, utilizing semi-definite programming (SDP) relaxation and S-procedure methods. The simulation results validated the effectiveness of the proposed algorithm compared with the non-robust design.

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A Scheme for Trustworthy Friendly Jammer Selection in Cooperative Cognitive Radio Networks

Cited by 38 publications

References 37 publications

A cross-layer cooperative jamming scheme for social internet of things

A cross-layer cooperative jamming scheme for social internet of things

Cognitive NOMA for UAV-Enabled Secure Communications: Joint 3D Trajectory Design and Power Allocation

Robust Beamforming Design for SWIPT-Based Multi-Radio Wireless Mesh Network with Cooperative Jamming

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