A Color Image Encryption Algorithm Based on Fractional-order Coupled Neuron System and Fibonacci Q-matrix

Fanqi Meng, Min Liu

Abstract


With the rapid growth of Internet-based digital communication, digital image information is increasingly exposed to risks such as interception, tampering, and data loss during transmission. Consequently, the design of secure image encryption algorithms has become highly important for protecting digital images. In this paper, a novel chaotic color image encryption scheme based on a fractional-order coupled neurons system (FCNS) and the Fibonacci Q-matrix is presented. The proposed algorithm is thoroughly analyzed through statistical security tests to verify its effectiveness. Experimental results show that the scheme can resist various well-known attacks and satisfy the security requirements for digital image transmission.

Keywords: Coupled neurons system, Fibonacci Q-matrix, Image encryption

DOI: 10.7176/JIEA/16-1-01

Publication date: April 30th 2026


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ISSN (Paper)2224-5782 ISSN (Online)2225-0506
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