Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

Research and Analysis on Comparison Scheme of IoT Encrypted Data in Cloud Computing Environment

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  • @INPROCEEDINGS{10.1007/978-3-030-19086-6_22,
        author={Rong Xu and Fu-yong Bian},
        title={Research and Analysis on Comparison Scheme of IoT Encrypted Data in Cloud Computing Environment},
        proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
        proceedings_a={ADHIP},
        year={2019},
        month={5},
        keywords={Cloud computing environment The Internet of Things Encrypt data Comparative analysis},
        doi={10.1007/978-3-030-19086-6_22}
    }
    
  • Rong Xu
    Fu-yong Bian
    Year: 2019
    Research and Analysis on Comparison Scheme of IoT Encrypted Data in Cloud Computing Environment
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-19086-6_22
Rong Xu1,*, Fu-yong Bian2
  • 1: Anhui Radio and TV University
  • 2: Chuxiong Medical College
*Contact email: xurong528528@163.com

Abstract

Conventional cloud computing iot encrypted data comparative analysis method to simple encryption scheme comparison, the accuracy of the scheme comparison is not high, for more complex data encryption scheme comparison, comparative stability lower deficiencies, therefore put forward under the cloud computing environment, the Internet of things encrypted data comparison analysis research. Introducing the sliding window technology, build the Internet of things to encrypt data security evaluation mechanism, determine the iot encrypted data comparison analysis algorithm, constructing iot encrypted data comparison analysis model is presented. Run the analysis model, analyze the iot encrypted data comparison scheme, and implement the iot encrypted data comparison scheme analysis. The experimental data show that the proposed scheme is more routine than the conventional scheme analysis, and the stability of the method is maintained at 70%–90%, which is suitable for the comparison scheme analysis of the network encryption data with different difficulty coefficients. The proposed method for comparative analysis of IoT encrypted data is highly effective.