Secure Lossy Transmission of Vector Gaussian Sources
Ersen Ekrem, Sennur Ulukus

TL;DR
This paper investigates the optimal secure lossy transmission of vector Gaussian sources with side information, establishing bounds on rate, distortion, and secrecy, and demonstrating the necessity of coding schemes over uncoded transmission.
Contribution
It derives a tight outer bound for the maximum equivocation in secure lossy transmission with vector Gaussian sources, highlighting the need for two auxiliary variables and coding schemes.
Findings
Outer bound for rate, equivocation, and distortion region derived.
Maximum equivocation characterized with two auxiliary random variables.
Uncoded transmission is suboptimal; coding schemes are necessary for maximum secrecy.
Abstract
We study the secure lossy transmission of a vector Gaussian source to a legitimate user in the presence of an eavesdropper, where both the legitimate user and the eavesdropper have vector Gaussian side information. The aim of the transmitter is to describe the source to the legitimate user in a way that the legitimate user can reconstruct the source within a certain distortion level while the eavesdropper is kept ignorant of the source as much as possible as measured by the equivocation. We obtain an outer bound for the rate, equivocation and distortion region of this secure lossy transmission problem. This outer bound is tight when the transmission rate constraint is removed. In other words, we obtain the maximum equivocation at the eavesdropper when the legitimate user needs to reconstruct the source within a fixed distortion level while there is no constraint on the transmission…
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Taxonomy
TopicsWireless Communication Security Techniques · Distributed Sensor Networks and Detection Algorithms · Sparse and Compressive Sensing Techniques
