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International Conference on Artificial Intelligence and Security

ICAIS 2019: Artificial Intelligence and Security pp 644–657Cite as

Comparison of the Legal Principle Foundation of Chinese and American Secret Information Access Control Technique

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11634))

Abstract

This paper firstly put forward the concept of secrecy legal principle foundation for information security and Secrecy Techniques. Secondly, the variance of the secret information access control technique between China and American was analyzed using contrast analysis. Thirdly, analysis of American sensitive compartmented information based on the lattice which was not suitable in China was given. Finally, according to the limitations of China control scheme in access scope, the suggestions for establishing secret information access control mechanism and model with China legal principle foundation is put forward.

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Acknowledgement

The research was supported by Hainan Provincial Natural Science Foundation (Grant No. 617079).

Author information

Authors and Affiliations

  1. College of Information Science and Technology, Hainan University, Haikou, HaiNan, China

    LongJuan Wang

  2. Institute of Computer Application, Academy of Engineering Physics, Mianyang, SiChuan, China

    FangMing Tang

Authors
  1. LongJuan Wang
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  2. FangMing Tang
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Corresponding author

Correspondence to LongJuan Wang .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Cite this paper

Wang, L., Tang, F. (2019). Comparison of the Legal Principle Foundation of Chinese and American Secret Information Access Control Technique. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11634. Springer, Cham. https://doi.org/10.1007/978-3-030-24271-8_57

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  • DOI: https://doi.org/10.1007/978-3-030-24271-8_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24270-1

  • Online ISBN: 978-3-030-24271-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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