Feedback Lunch: Deep Feedback Codes for Wiretap Channels
This work addresses secure communication for scenarios like integrated sensing and communication, though it appears incremental as it builds on existing feedback and coding techniques.
The paper tackled the problem of achieving positive secrecy rates in reversely-degraded Gaussian wiretap channels with zero secrecy capacity without feedback, by developing a seeded modular code design that combines universal hash functions and learned feedback-based codes, resulting in a method that enables secret key agreement between legitimate parties.
We consider reversely-degraded wiretap channels, for which the secrecy capacity is zero if there is no channel feedback. This work focuses on a seeded modular code design for the Gaussian wiretap channel with channel output feedback, combining universal hash functions for security and learned feedback-based codes for reliability to achieve positive secrecy rates. We study the trade-off between communication reliability and information leakage, illustrating that feedback enables agreeing on a secret key shared between legitimate parties, overcoming the security advantage of the wiretapper. Our findings also motivate code designs for sensing-assisted secure communication, to be used in next-generation integrated sensing and communication methods.