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Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III

Research Article

Design of Digital Image Information Security Encryption Method Based on Deep Learning

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-50577-5_3,
        author={Licheng Sha and Peng Duan and Xinchen Zhao and Kai Xu and Shaoqing Xi},
        title={Design of Digital Image Information Security Encryption Method Based on Deep Learning},
        proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III},
        proceedings_a={ICMTEL PART 3},
        year={2024},
        month={2},
        keywords={Deep Learning Digital Image Information Security Encryption Learning Function Scrambling Processing Circular Index Table Security Parameters},
        doi={10.1007/978-3-031-50577-5_3}
    }
    
  • Licheng Sha
    Peng Duan
    Xinchen Zhao
    Kai Xu
    Shaoqing Xi
    Year: 2024
    Design of Digital Image Information Security Encryption Method Based on Deep Learning
    ICMTEL PART 3
    Springer
    DOI: 10.1007/978-3-031-50577-5_3
Licheng Sha1,*, Peng Duan1, Xinchen Zhao1, Kai Xu1, Shaoqing Xi1
  • 1: State Grid Beijing Electric Power Company
*Contact email: shalichenglihai@163.com

Abstract

Due to the high degree of overlapping of digital image information, the security encryption ability of digital image information is weak and the encryption accuracy is low. A security encryption method for digital image information based on deep learning is designed. Determine the connection form of the deep learning network, and based on this, select the key learning function, decipher the digital image information, and complete the digital image analysis based on deep learning. According to the scrambling result of the image information, a circular index table structure is established, and then the secure encryption of digital image information is realized by solving the value range of the security parameter. The experimental results show that the maximum value of the information overlapping index of this method can only reach 1.36, which has strong digital image information security encryption ability and can effectively improve the security encryption accuracy of digital image information.

Keywords
Deep Learning Digital Image Information Security Encryption Learning Function Scrambling Processing Circular Index Table Security Parameters
Published
2024-02-21
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-50577-5_3
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