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      Improved Security of E-Healthcare Images Using Hybridized Robust Zero-Watermarking and Hyper-Chaotic System along with RSA

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      Mathematics
      MDPI AG

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          Abstract

          With the rapid advancements of the internet of things (IoT), several applications have evolved with completely dissimilar structures and requirements. However, the fifth generation of mobile cellular networks (5G) is unable to successfully support the dissimilar structures and requirements. The sixth generation of mobile cellular networks (6G) is likely to enable new and unidentified applications with varying requirements. Therefore, 6G not only provides 10 to 100 times the speed of 5G, but 6G can also provide dynamic services for advanced IoT applications. However, providing security to 6G networks is still a significant problem. Therefore, in this paper, a hybrid image encryption technique is proposed to secure multimedia data communication over 6G networks. Initially, multimedia data are encrypted by using the proposed model. Thereafter, the encrypted data are then transferred over the 6G networks. Extensive experiments are conducted by using various attacks and security measures. A comparative analysis reveals that the proposed model achieves remarkably good performance as compared to the existing encryption techniques.

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            ImageNet classification with deep convolutional neural networks

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              1D convolutional neural networks and applications: A survey

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                Author and article information

                Contributors
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                Journal
                Mathematics
                Mathematics
                MDPI AG
                2227-7390
                April 2022
                March 26 2022
                : 10
                : 7
                : 1071
                Article
                10.3390/math10071071
                23d3d1cc-02f3-4234-8c03-ca5dc3378f99
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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