A Hyperchaotic Image Encryption Paradigm Fusing DNA Sequence Operations with Bit-Level Multi-Stage Dynamic Scrambling

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Recently, the increasing severity of data breaches has made the security of digital images,as high-capacity visual information carriers, a critical concern. While chaotic maps arewidely applied in image encryption due to their high nonlinearity and sensitivity, many existingschemes suffer from degraded chaotic properties or an over-reliance on a single protectionmechanism. To address these shortcomings, this paper presents a novel and robust image encryptionparadigm that synergistically fuses a high-dimensional non-degenerate hyperchaoticmap with multi-stage dynamic scrambling and DNA sequence operations. The core of ourcryptographic construction is a parameter-hopping Lorenz system, where the parameters σ, ρ,and β are dynamically altered based on the system’s state trajectory and plaintext information,inducing non-stationary chaos and significantly enhancing resistance against phase-space reconstructionattacks. The encryption algorithm is meticulously architected in four sequentialstages: (1) bit-level permutation using a hyperchaotic sequence, (2) DNA encoding with ruleselection governed by a second chaotic sequence, (3) a confusion layer employing a DNAbasedXOR operation with a key-derived nucleotide stream, and (4) a final diffusion layer viachaotic bit masking. We formally prove the scheme’s perfect reconstructibility and demonstratethrough security analysis that the key space exceeds 2^30192, rendering brute-force attackscomputationally infeasible. Furthermore, we provide formal proofs for the system’s high sensitivityto both the encryption key and plaintext, achieving near-ideal values for the Numberof Changing Pixel Rate (NPCR > 99.61%) and Unified Average Changing Intensity (UACI ≈33.46%). Empirical validation on standard test images confirms the algorithm’s effectiveness,exhibiting uniform histogram distribution, near-maximum information entropy (≈7.997), andnegligible correlation coefficients between adjacent pixels (|rxy|<0.01). The proposed schemeoffers a cryptographically strong framework for secure digital image communication.

Article activity feed