Work

Metasurface-Enabled Honey Encryption: A New Paradigm for Secure Data Transmission

Year: 2025

Type: article

Abstract: Honey encryption is a potent data security method that thwarts attackers by generating deceptive yet plausible messages, but its large-scale adoption is hindered by cumbersome and time-intensive encryption processes, and this study aims to address this limitation by proposing a novel encryption framework that, for the first time to our knowledge, integrates honey encryption with metasurfaces to enhance both security and efficiency. The methodology involves employing a Fast Fourier Transform (FFT)-based iterative algorithm to optimize the phase distribution of metasurfaces, ensuring it matches the amplitude of the target image, which enables rapid and effective encryption and decryption processes. Key results demonstrate that the proposed framework outperforms traditional encryption methods in both security and transmission efficiency, with successful realization of secure data transmission through metasurface-based modulation. In conclusion, this integration of honey encryption and metasurface technology not only addresses the inefficiencies of conventional honey encryption but also shows significant promise for wide-ranging applications in data encryption and secure communications, leveraging the advancing metasurface technology.

Source: IEEE photonics journal

DOI: 10.1109/jphot.2025.3614723

Authors: Caixin Zhang, Shengyi Wang, Fei Zhang, Bowen Jia, Qiu Wang

Institution: Wuhan University of Technology

Language: English

Topic: Chaos-based Image/Signal Encryption

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,075