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IEEE Transactions on Information Forensics and Security

On Energy-Secrecy Trade-Offs for Gaussian Wiretap Channels

Cristina Comaniciu, H. Vincent Poor

Published Dec 8, 2012• 27 citations
Publisher

Abstract

This paper investigates physical-layer security-energy trade-offs from an information theoretic perspective. The metric of partial secrecy is introduced as the amount of distortion that can be guaranteed at the eavesdropper, and three different channel models are proposed to capture various transmission strategies to achieve partial secrecy. It is shown that a range of secrecy-energy operating points can be achieved with an appropriate allocation of power resources between private and nonprivate data substreams.

DOI
10.1109/tifs.2012.2232910

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•Jan 1, 2009•1 citation
This paper investigates physical-layer security-energy trade-offs from an information theoretic perspective. The metric of partial secrecy is introduced as the amount of distortion that can be guaranteed at the eavesdropper, and three different channel models are proposed to capture various transmission strategies to achieve partial secrecy. It is shown that a range of secrecy-energy operating points can be achieved with an appropriate allocation of power resources between private and nonprivate data substreams.
Physical layer energy-secrecy tradeoffs for wireless networks are investigated from an information theoretic perspective. An application layer characterization of physical layer secrecy is introduced to quantify the partial secrecy that can be achieved on a wireless transmission. Best effort and guaranteed partial secrecy channel models are introduced and analyzed. It is shown that a range of energy-secrecy Pareto optimal operating points can be achieved with an appropriate allocation of power resources between private and non-private data sub-streams.
This chapter investigates the secrecy-energy trade-offs for communication in wireless networks. It is shown that privacy requirements for applications such as image or video transmissions do not require perfect secrecy, and the level of privacy can be quantified using a Rate-Distortion metric. Using information theoretic analysis, the chapter formulates analytic secrecy trade-offs for various communication channel models. In particular we analyze the advantage of partial secrecy for the Gaussian and Rayleigh fading channel models and the MIMO channel. The impact of secrecy requirements and the inherent secrecy-energy-connectivity trade-offs are also analyzed for networks of wireless nodes.
The future wireless networks require both high data transmission rates and secure communications. However, there exists a trade-off between secure and non-secure rates since only a fraction of the maximal achievable reliable rate in a wiretap channel can be considered as secure. This paper studies the optimal transmit strategies that achieve the optimal trade-off between the communication rate and secrecy rate for the MISO wiretap channels with different power constraint settings including sum power constraint only, per-antenna power constraints only, and joint sum and per-antenna power constraints. First, a necessary and sufficient condition to ensure a positive secrecy capacity is shown. After that, closed-form solutions to find an optimal transmit strategy of related problems are derived. This provides a parametrization of the boundary of the maximal achievable rate and secrecy rate without additional time-sharing. The optimal trade-off is characterized by the convex hull of the region. Lastly, the results are illustrated by numerical examples.
In this letter, we consider physical layer security in multiple-input single-output (MISO) fading wiretap channels, where the transmitter utilizes a jamming-aided precoding transmission strategy to maximize the achievable secrecy rate of the channel. The instantaneous channel state information of the eavesdropper's channel is considered unavailable at the transmitter. We derive the closed-form expression of the ergodic secrecy rate, based on which we find that there exists an optimal power allocation ratio between the information signal and the jamming signal. Asymptotic analysis shows that the optimal power ratio depends on the number of antennas as well as the available transmit power at Alice.
Since a wireless transmission requires to access to a shared medium, the communication is susceptible to adversarial eavesdropping. This paper describes how eavesdropping can potentially be limited by resorting to waterfilling-like algorithms with additional constraints. A Gaussian wiretap channel (WTC) is considered in which a transmitter sends confidential messages to its reference receiver in the presence of a passive eavesdropper. We approach the problem from two different perspectives, focusing either on the rate of the main link or the secrecy level. Through numerical analysis, we show how the information-secrecy regions can be the means to evaluate the quality of the main link and the secrecy level, resulting from our algorithms application. Finally we analyze the case of interfering signals (induced by users sharing the same transmission resource) to show their effects on both information rate and secrecy, even in the case of an eavesdropper able to mitigate the interference.