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Journal of Discrete Mathematical Sciences and Cryptography cover
Hybrid ·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

Neuronal crypto system based on chaotic super-increasing sequence

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pp. 733–751Vol. 28Issue 3April 2025DOI: 10.47974/JDMSC-1867 Crossmark XML
Received:
05 Jul 2023
Published Online:
11 Apr 2025
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1867
Pages:
733–751

Abstract

Neural networks were originally developed as an alternative to artificial intelligence to solve problems such as control, shape or word recognition, decision-making, memory, and more. In this work, we propose to assign them to secure images. For this, we use data (which is defined from the logistics map) to generate a super-increasing sequence which can attributed as a weight of the synapses. Also, we have inspired to encrypt the images by the Merkel-Hellman algorithm. The proposed system is called Neuronal Crypto-System which is a secret key system. It takes some steps of encryption and decryption of a specific public key crypto system and crypts a grayscale image to color image (RGB).

Keywords

Subject Classifications

11T7194A6097F6068P2592B2068T0590B06

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