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An Image Encryption Algorithm Based on Random Hamiltonian Path

Wei Zhang, Wang Shu-wen, Weijie Han, Hai Yu, Zhiliang Zhu

2020Entropy24 citationsDOIOpen Access PDF

Abstract

In graph theory, Hamiltonian path refers to the path that visits each vertex exactly once. In this paper, we designed a method to generate random Hamiltonian path within digital images, which is equivalent to permutation in image encryption. By these means, building a Hamiltonian path across bit planes can shuffle the distribution of the pixel's bits. Furthermore, a similar thought can be applied for the substitution of pixel's grey levels. To ensure the randomness of the generated Hamiltonian path, an adjusted Bernoulli map is proposed. By adopting these novel techniques, a bit-level image encryption scheme was devised. Evaluation of simulation results proves that the proposed scheme reached fair performance. In addition, a common flaw in calculating correlation coefficients of adjacent pixels was pinpointed by us. After enhancement, correlation coefficient becomes a stricter criterion for image encryption algorithms.

Topics & Concepts

RandomnessEncryptionHamiltonian pathAlgorithmPixelHamiltonian (control theory)Hamiltonian path problemMathematicsPath (computing)Vertex (graph theory)Shortest path problemComputer scienceTheoretical computer scienceGraphDiscrete mathematicsArtificial intelligenceMathematical optimizationStatisticsOperating systemProgramming languageChaos-based Image/Signal EncryptionAdvanced Steganography and Watermarking TechniquesDNA and Biological Computing