Physical Layer Security in Multibeam Satellite Systems

Zheng, Gan; Arapoglou, Pantelis-Daniel; Ottersten, Björn

doi:10.1109/twc.2011.120911.111460

Cited by 171 publications

(77 citation statements)

References 26 publications

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“…In the seminal work of [26], Lei et al studied the security oriented beamforming and power control in a multibeam satellite communication in order to minimize the transmit power, while maintaining individual secrecy rate constraint. Subsequently, [27] proposed the optimal strategy design to improve the security of multibeam satellite communication, and the artificial noise was explored as an additional degree-of-freedom to protect against Eves. To circumvent the masking effect from the satellite to the terrestrial terminals, the authors of [28] investigated the secure transmission with the assistance of a relay for a hybrid satellite-terrestrial network.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

“…In general, there are two classes of models to characterize imperfect CSI: the deterministic (worst-case) and stochastic uncertainty models. Taking the deterministic uncertainty model into account, a growing body of robust secure transmission for satellite communications has been studied in [26], [27], in which the CSI uncertainty is bounded by possible values. We note that the worst-case setting characterized by deterministic uncertainty model infrequently occurs and may not reflect practical channels accurately.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

“…In addition, the beam gain is determined by the SAT antenna pattern and the position of a user. Given a user's position within the satellite spot beam coverage area, the beam gain factor can be expressed as [27], [34] …”

Section: A Satellite Channel Modelmentioning

confidence: 99%

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Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

Fei

Chu

et al. 2018

IEEE Trans. Veh. Technol.

129

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Abstract-Cognitive satellite-terrestrial networks (CSTNs) have been recognized as a promising network architecture for addressing spectrum scarcity problem in next-generation communication networks. In this paper, we investigate the secure transmission for CSTNs where the terrestrial base station (BS) serving as a green interference resource is introduced to enhance the security of the satellite link. Adopting a stochastic model for the channel state information (CSI) uncertainty, we propose a secure and robust beamforming framework to minimize the transmit power, while satisfying a range of outage (probabilistic) constraints concerning the signal-to-interference-plus-noise ratio (SINR) recorded at the satellite user and the terrestrial user, the leakage-SINR recorded at the eavesdropper, as well as the interference power recorded at the satellite user. The resulting robust optimization problem is highly intractable and the key observation is that the highly intractable probability constraints can be equivalently reformulated as the deterministic versions with Gaussian statistics. In this regard, we develop two robust reformulation methods, namely S-Procedure and Bernstein-type inequality restriction techniques, to obtain a safe approximate solution. In the meantime, the computational complexities of the proposed schemes are analyzed. Finally, the effectiveness of the proposed schemes are demonstrated by numerical results with different system parameters.

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Section: A Related Work and Motivationmentioning

confidence: 99%

Section: A Related Work and Motivationmentioning

confidence: 99%

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Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

Fei

Chu

et al. 2018

IEEE Trans. Veh. Technol.

129

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“…Therefore, they can only be solved by numerical methods with high complexity, such as in [29], [52]- [56]. To mitigate the computational cost, some low-complexity suboptimal algorithms have been proposed to simplify the beamforming designs [57], [58].…”

Section: B Secure Beamforming and Precodingmentioning

confidence: 99%

“…Noteworthily, several existing beamforming techniques which are simple but not optimal have been also adopted widely in different scenarios of secure communications, such as null-space beamforming (also named zero-forcing beamforming) [57]- [61] and maximum ratio transmission (MRT) beamforming [58], [62]- [64]. Null-space beamforming chooses the beamforming vector lying in the null space of the eavesdropper's channel vector.…”

Section: B Secure Beamforming and Precodingmentioning

confidence: 99%

A Survey of Optimization Approaches for Wireless Physical Layer Security

Wang

Bai

Zhao

et al. 2019

IEEE Commun. Surv. Tutorials

194

102

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Due to the malicious attacks in wireless networks, physical layer security has attracted increasing concerns from both academia and industry. The research on physical layer security mainly focuses either on the secrecy capacity/achievable secrecy rate/capacity-equivocation region from the perspective of information theory, or on the security designs from the viewpoints of optimization and signal processing. Because of its importance in security designs, the latter research direction is surveyed in a comprehensive way in this paper. The survey begins with typical wiretap channel models to cover common scenarios and systems. The topics on physical-layer security designs are then summarized from resource allocation, beamforming/precoding, and antenna/node selection and cooperation. Based on the aforementioned schemes, the performance metrics and fundamental optimization problems are discussed, which are generally adopted in security designs. Thereafter, the state of the art of optimization approaches on each research topic of physical layer security is reviewed from four categories of optimization problems, such as secrecy rate maximization, secrecy outrage probability minimization, power consumption minimization, and secure energy efficiency maximization. Furthermore, the impacts of channel state information on optimization and design are discussed. Finally, the survey concludes with the observations on potential future directions and open challenges.

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Mitigating distributed denial of service attacks in satellite networks

Usman

Qaraqe

Asghar

et al. 2020

Trans Emerging Tel Tech

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Satellite communication is becoming a complementary technology in future 5G and beyond networks due to its wider coverage. Similar to any terrestrial network, security has become a major concern in satellite networks. Due to a long distance between ground stations (GS) and satellite transponders and due to its inherited broadcast nature, satellite communication encounters certain limitations such as high bit error rate, high link delays, power control, and large round trip delays. The aforementioned limitations make security techniques proposed for terrestrial networks more challenging in satellite settings. Denial-of-service (DoS) and distributed DoS (DDoS) attacks have become one of the most popular security threats in both the terrestrial and satellite networks. In this article, we present a DDoS mitigation technique that can be employed at the GS end in satellite networks. In particular, we simulate Internet Control Message Protocol echo request (ping) flooding across a satellite network and propose a proactive mitigation technique by restricting the number of echo requests a network entity can generate. The simulation results demonstrate that DDoS attacks can be mitigated in satellite networks without affecting the quality of experience of legitimate users.

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Physical Layer Security in Multibeam Satellite Systems

Cited by 171 publications

References 26 publications

Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

A Survey of Optimization Approaches for Wireless Physical Layer Security

Mitigating distributed denial of service attacks in satellite networks

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