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Double random phase encoding schemes with perfect forward secrecy for robust image cryptography

Title
Double random phase encoding schemes with perfect forward secrecy for robust image cryptography
Author(s)
Moon, InkyuKim, YouhyunGholami, SamanehJeong, Ongee
Issued Date
2021-08
Citation
OSA Continuum, v.4, no.8, pp.2245 - 2259
Type
Article
Keywords
CryptographyEncoding (symbols)Large datasetSignal encodingDouble random-phase encodingImage cryptographiesKey exchange algorithmsKey exchange protocolsLarge-scale datasetsPerfect forward secrecyRandom phase masksSinusoidal waveformsImage enhancement
ISSN
2578-7519
Abstract
Digital cryptosystems can provide perfect forward secrecy (PFS) for key exchange protocols based on the Diffie–Hellman (DH) scheme. However, key exchange algorithms are optimally designed only to encode small datasets, such as text and voice sets, which makes rapidly processing large-scale datasets difficult. In this paper, we propose new schemes that can efficiently and securely provide PFS in double random phase encoding (DRPE) schemes for robust image cryptography. We demonstrate that the proposed complex sinusoidal waveform versions of the DH algorithm with fusion of a random phase mask (RPM) and ephemeral secret exponents can guarantee PFS. Different experimental results reveal that the proposed schemes can enhance the security of DRPE-based image cryptosystems using a one-time RPM and PFS. We also propose a ring-type PFS scheme in which an unlimited number of users can securely share a temporary session key, which is an extension of PFS for only two users. We provide formal proof for the schemes and prove feasibility through numerical simulations. © 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
URI
http://hdl.handle.net/20.500.11750/15613
DOI
10.1364/OSAC.426537
Publisher
The Optical Society
Related Researcher
  • 문인규 Moon, Inkyu
  • Research Interests 지능형 영상시스템; AI기반 영상분석; AI기반 암호시스템; Intelligent Imaging Systems; AI-based Image Analysis; AI-based Cryptosystems & Cryptanalysis
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Appears in Collections:
Department of Robotics and Mechatronics Engineering Intelligent Imaging and Vision Systems Laboratory 1. Journal Articles

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