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Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21–22, 2019, Proceedings, Part I

Research Article

Big Data-Based User Data Intelligent Encryption Method in Electronic Case System

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  • @INPROCEEDINGS{10.1007/978-3-030-36402-1_32,
        author={Xin Liu},
        title={Big Data-Based User Data Intelligent Encryption Method in Electronic Case System},
        proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2019},
        month={11},
        keywords={Big data Electronic case system Data encryption},
        doi={10.1007/978-3-030-36402-1_32}
    }
    
  • Xin Liu
    Year: 2019
    Big Data-Based User Data Intelligent Encryption Method in Electronic Case System
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-36402-1_32
Xin Liu1,*
  • 1: School of Railway Operation and Management
*Contact email: liuxin001100@163.com

Abstract

When the user data of the conventional electronic case system was encrypted, there was a shortage of low analysis accuracy. To this end, an intelligent encryption method for user data of the electronic case system based on big data was proposed. Introducing the big data technology, building a framework for intelligent encryption of user data of electronic case system, and realizing the construction of intelligent encryption of user data of electronic case system; Relying on the determination of the data intelligent encryption algorithm, the electronic case system model was embedded to realize the intelligent encryption of the user data of the electronic case system. The experimental data showed that the proposed big data modeling and analysis method was 61.64% more accurate than the conventional method, which was suitable for intelligent encryption of user data in electronic case system.

Keywords
Big data Electronic case system Data encryption
Published
2019-11-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-36402-1_32
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