Work

Denoising-Autoencoder-Assisted Physical Layer Secret Key Generation

Year: 2026

Type: conference-paper

Abstract: In this paper, we propose denoising autoencoder (DAE)-assisted secret key generation (SKG), where channel noise reciprocity imperfections induced due to wireless channel measurements are suppressed, hence significantly enhancing the reliability and efficiency. More specifically, the DAE is capable of capturing the intrinsic structure of input distributions, reconstructing the original data structure, and removing additive noise while preserving the essential structure of signals. In our analysis, it is demonstrated that the proposed SKG scheme exhibits higher performance than the conventional schemes in terms of key disagreement rate (KDR), secret key capacity (SKC), and randomness of the generated keys.

Source: International Conference on Communications

DOI: 10.1109/icc59461.2026.11587401

Authors: Zhengyu Xu, Shun Kojima, Shinya Sugiura

Institution: The University of Tokyo

Topic: Wireless Communication Security Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: Iran Telecommunication Research Center, Japan Society for the Promotion of Science, Japan Science and Technology Agency, National Institute of Information and Communications Technology

Awards: ワイヤレス通信における革新的非直交フレームワークの確立, Advanced Signal Processing for High-Speed and High-Reliability Communications in Highly Doubly Selective Underwater Acoustic Channel, 次世代ワイヤレス通信のための高周波数帯伝搬路環境の知的統合制御フレームワーク構築, Generalized statistical channel model and theoretical analysis framework for terahertz communications, 時空間超高精細同期型ワイヤレスネットワークに関する研究