An Image Encryption Algorithm Based on the Improved Sine-Tent Map

Zijing Gao, Zeyu Liu, Lichan Wang and Piergiulio Tempesta

Discrete Dynamics in Nature and Society, 2021, vol. 2021, 1-16

Abstract: This paper makes use of the characteristics of initial sensitivity and randomness of the chaotic map to design an image encryption algorithm based on the sine map and the tent map. The sine map is used to improve the tent map; then, the improved sine-tent map is proposed. The traditional tent map proposed in this paper has an expanded control parameter range and better chaos. In this algorithm, bit rearrangement is adopted to further improve the improved sine-tent map, which can reconstruct the output value and expand the chaotic characteristics of the map. In this algorithm, the image parameters are connected with the algorithm to generate the key. In the encryption step, a method of replacing the most significant bit and scrambling-diffusion algorithm is designed to encrypt the plaintext image. Finally, the algorithm is simulated with the experiment and evaluated with analysis; then, the experimental results are given. The evaluation results show that the ciphertext of the algorithm has high randomness, strong robustness, and better resistance to differential attacks after comparison. The correlation of the ciphertext image pixels is very low, and the algorithm is highly secure as a conclusion.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:9187619

DOI: 10.1155/2021/9187619

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