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Medical image characteristic region recognition encryption algorithm based on intra and inter blocks scrambling and LSCC chaotic map

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Abstract

In recent years, telemedicine has received widespread attention. It is very necessary to encrypt medical images, especially the feature areas of images. Based on the chaotic model of Logistic mapping and Sine mapping, a new chaotic system of cross-combination mapping (LSCC) is proposed. A large number of tests show that LSCC chaotic system has good cryptographic characteristics. Based on LSCC mapping, a medical image feature region recognition encryption algorithm is proposed. Firstly, the binary method is used to recognize and extract the feature area of the image. Then, in the scrambling stage, we use our newly proposed intra-block scrambling method and inter-block scrambling method to scramble the feature area and the entire image. The chaotic sequence generated by the LSCC map is applied to each pixel value after nonlinear operation to achieve diffusion effect. After analyzing the performance test results, our cryptographic system has high security and can achieve the purpose of encrypting medical images and protecting image privacy information.

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Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

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Funding

The work is funded by the National Natural Science Foundation of China (Nos: 61701070, 61672124), Key R&D Projects of Liaoning Province (No: 2019020105-JH2/103), Liaoning Province Science and Technology Innovation Leading Talents Program Project (No: XLYC1802013), Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security (No: MIMS20-M-02).

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  1. School of Information Science & Technology, Dalian Maritime University, Dalian, 116026, China

    Rong Chen, Fan Zhang, Lin Teng & Xingyuan Wang

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  1. Rong Chen
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  2. Fan Zhang
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  3. Lin Teng
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  4. Xingyuan Wang
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Correspondence to Fan Zhang or Lin Teng.

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Chen, R., Zhang, F., Teng, L. et al. Medical image characteristic region recognition encryption algorithm based on intra and inter blocks scrambling and LSCC chaotic map. Multimed Tools Appl 82, 45839–45867 (2023). https://doi.org/10.1007/s11042-023-15458-y

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