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Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Enhancing image security and privacy with hybrid double random phase encoding, lorenz maps, and compressed sensing

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pp. 329–338Vol. 27Issue 2-AMarch 2024DOI: 10.47974/JDMSC-1886 Crossmark XML
Published Online:
06 Apr 2024
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1886
Pages:
329–338

Abstract

The resilient and secure image encryption method presented in this research combines the benefits of Lorenz maps and double random phase encoding (DRPE) with compressed sensing. The suggested method attempts to maximize the use of storage resources while maintaining the security and integrity of sensitive image data during transmission and storage. Utilizing the energy compaction characteristics of the original image, compressed sensing with discrete cosine transform (DCT) is used in the encryption process to effectively represent and transmit the encrypted data. Lorenz maps are also used to create double random phase masks, adding high unpredictability and key sensitivity to strengthen the encryption scheme’s security. Utilizing a variety of performance indicators, including the PSNR, NPCR, MSE, and SSIM, experimental investigations demonstrate the usefulness of the suggested strategy.

Keywords

Subject Classifications

11T71 Algebraic coding theorycryptography (number-theoretic aspects)94A60 Cryptography [See also 11T7114G5068P2581P94]Applications to coding theory and cryptography of arithmetic geometry [See also 94A6094B2794B40]

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