Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Security enhancement for OFDM-UWOC system using three-layer chaotic encryption and chaotic DFT precoding

Not Accessible

Your library or personal account may give you access

Abstract

Security is one of the key issues in communications, but it has not attracted much attention in the field of underwater wireless optical communication (UWOC). This Letter proposes a UWOC encryption scheme with orthogonal frequency division multiplexing (OFDM) modulation, based on the three-layer chaotic encryption and chaotic discrete Fourier transform (DFT) precoding. The three-layer chaotic encryption processes are bit stream diffusion, in-phase/quadrature encryption, and time-frequency scrambling. With multi-fold data encryption, the scheme can create a keyspace of 9.7×10179, effectively resisting brute force attacks and chosen-plaintext attacks. A 3 Gbit/s encrypted OFDM signal is successfully transmitted over a 7 m water channel.

© 2022 Chinese Laser Press

PDF Article
More Like This
Coordinated-security based on probabilistic shaping and encryption in MMW-RoF system

Yaoqiang Xiao, Sitao Wang, Zhiyi Wang, Linrong Jiang, and Jing He
Opt. Lett. 48(11) 2989-2992 (2023)

Multi-band chaotic non-orthogonal matrix-based encryption for physical-layer security enhancement in OFDM-PONs

Peiji Song, Zhouyi Hu, and Chun-Kit Chan
J. Opt. Commun. Netw. 15(7) C120-C128 (2023)

Probabilistic shaping based constellation encryption for physical layer security in OFDM RoF system

Zhiyi Wang, Yaoqiang Xiao, Sitao Wang, Yuansiyi Yan, Bingshuai Wang, Yating Chen, Zhihua Zhou, Jing He, and Liang Yang
Opt. Express 29(12) 17890-17901 (2021)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.