Sample-Grouping-Based Vector Quantization for Secret Key Extraction From Atmospheric Optical Wireless Channels-Reference-Cited by-同舟云学术

Sample-Grouping-Based Vector Quantization for Secret Key Extraction From Atmospheric Optical Wireless Channels

Published:2022-11 Issue:11 Volume:21 Page:8905-8918
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Chen Chunyi¹^ORCID

Affiliation:

1. Key Laboratory of Photoelectric Measurement & Control and Optical Information Transfer Technology, Changchun University of Science and Technology, Changchun, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing City of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/9944944/09768335.pdf?arnumber=9768335

Reference32 articles.

1. Improving Availability and Confidentiality via Hyperchaotic Baseband Frequency Hopping Based on Optical OFDM in VLC Networks

2. Robust Lightweight Channel-Independent OFDM-Based Encryption Method for VLC-IoT Networks

3. Randomness evaluation of key generation based on optical OFDM system in visible light communication networks

4. Secret Key Establishment Using Temporally and Spatially Correlated Wireless Channel Coefficients

5. Automatic secret keys from reciprocal MIMO wireless channels: Measurement and analysis;wallace;IEEE Trans Inf Forensics Security,2010

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shared secret key extraction from atmospheric optical wireless channels with multi-scale information reconciliation;Ad Hoc Networks;2024-11

2. Machine Learning-Based Vector Quantization for Secret Key Generation in Physical Layer Security;2024 Global Information Infrastructure and Networking Symposium (GIIS);2024-02-19

3. Secret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach;IEEE Transactions on Information Forensics and Security;2024