Noise-Crypt: Image Encryption with Non-linear Noise, Hybrid Chaotic Maps, and Hashing

TL;DR

Noise-Crypt is a novel image encryption method combining non-linear noise, hybrid chaotic maps, and hashing to enhance security against cryptanalysis, demonstrated through extensive security evaluations.

Contribution

The paper introduces a new image encryption scheme that integrates non-linear noise, hybrid chaotic maps, and SHA-256 hashing for improved security and resistance to attacks.

Findings

Achieved near-ideal entropy of 7.99

Correlation close to zero at -0.0040

Validated robustness against cryptanalysis

Abstract

To secure the digital images over insecure transmission channels, a new image encryption algorithm Noise-Crypt is proposed in this paper. Noise-Crypt integrates non-linear random noise, hybrid chaotic maps, and SHA-256 hashing algorithm. The utilized hybrid chaotic maps are the logistic-tent and the logistic-sine-cosine map. The hybrid chaotic maps enhance the pseudorandom sequence generation and selection of substitution boxes, while the logistic-sine-cosine map induces non-linearity in the algorithm through random noise. This deliberate inclusion of noise contributes to increased resistance against cryptanalysis. The proposed scheme has been evaluated for several security parameters, such as differential attacks, entropy, correlation, etc. Extensive evaluation demonstrates the efficacy of the proposed scheme, with almost ideal values of entropy of 7.99 and correlation of -0.0040. Results of the security analysis validate the potency of the proposed scheme in achieving robust image encryption.