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Multiple-Channel Information Encryption Based on Quantum Dot Absorption Spectra

Authors :
Liu, Senyang
Liu, Xiaohu
Zhu, Xueyu
Yin, Jinhua
Bao, Jie
Source :
ACS Nano; November 2023, Vol. 17 Issue: 21 p21349-21359, 11p
Publication Year :
2023

Abstract

Large-capacity information encryption has attracted significant interest in the information age. The diversity and controllability of spectra have positioned them to be widely applied for information encryption. Current spectra-based information encryption methods commonly rely on either spectral alteration induced by external stimuli or the utilization of narrowband channels within spectra. However, these methods encounter a common challenge in attaining both high security and large capacity simultaneously. To address these issues, we propose a multiple-channel information encryption system based on quantum dot (QD) absorption spectra. The diversity of QD absorption spectra and their broadband features ensure that the encrypted spectra can hardly be decrypted without knowing the correct channel matrix. Meanwhile, the large capacity is realized through the combination of multiple QD spectral channels with a theoretical maximum capacity of 24.0 bits in a single spectrum. In order to optimize the performance of our proposed system, the selection principle of the channel matrix is established to achieve the rapid identification of the optimal channel matrix in several milliseconds. The additivity of QD spectral channels and the consistency of QD spectra are also explored to minimize the impact of errors on information decryption. Furthermore, two spectral encryption scenarios of spatial pattern and spectral pattern are applied to demonstrate the feasibility, showcasing their ability to achieve both a high level of security and large capacity. Owing to the advantages offered by QD spectra, the QD spectra-based information system exhibits excellent potential for broader applications in information storage, authentication, and computing.

Details

Language :
English
ISSN :
19360851 and 1936086X
Volume :
17
Issue :
21
Database :
Supplemental Index
Journal :
ACS Nano
Publication Type :
Periodical
Accession number :
ejs64326775
Full Text :
https://doi.org/10.1021/acsnano.3c06050