On the Secrecy Rate Region for the Interference Channel
O. Ozan Koyluoglu, Hesham El Gamal

TL;DR
This paper explores how interference channels can be used to enhance security against external eavesdroppers by employing cooperative binning and channel prefixing techniques, demonstrating interference's positive role in security.
Contribution
It introduces a cooperative binning and channel prefixing scheme for interference channels with security constraints, leveraging interference to improve secrecy rates.
Findings
Cooperative schemes increase secrecy compared to single-user scenarios.
Interference can be exploited to add randomness and enhance security.
Gaussian case demonstrates practical implementation benefits.
Abstract
This paper studies interference channels with security constraints. The existence of an external eavesdropper in a two-user interference channel is assumed, where the network users would like to secure their messages from the external eavesdropper. The cooperative binning and channel prefixing scheme is proposed for this system model which allows users to cooperatively add randomness to the channel in order to degrade the observations of the external eavesdropper. This scheme allows users to add randomness to the channel in two ways: 1) Users cooperate in their design of the binning codebooks, and 2) Users cooperatively exploit the channel prefixing technique. As an example, the channel prefixing technique is exploited in the Gaussian case to transmit a superposition signal consisting of binning codewords and independently generated noise samples. Gains obtained form the cooperative…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Chaos-based Image/Signal Encryption · Cooperative Communication and Network Coding
