Testbeds and Research Infrastructures for the Development of Networks and Communications. 13th EAI International Conference, TridentCom 2018, Shanghai, China, December 1-3, 2018, Proceedings

Research Article

Formalizing DIKW Architecture for Modeling Security and Privacy as Typed Resources

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  • @INPROCEEDINGS{10.1007/978-3-030-12971-2_10,
        author={Yucong Duan and Lougao Zhan and Xinyue Zhang and Yuanyuan Zhang},
        title={Formalizing DIKW Architecture for Modeling Security and Privacy as Typed Resources},
        proceedings={Testbeds and Research Infrastructures for the Development of Networks and Communications. 13th EAI International Conference, TridentCom 2018, Shanghai, China, December 1-3, 2018, Proceedings},
        proceedings_a={TRIDENTCOM},
        year={2019},
        month={2},
        keywords={Typed resources Data Information Knowledge Wisdom},
        doi={10.1007/978-3-030-12971-2_10}
    }
    
  • Yucong Duan
    Lougao Zhan
    Xinyue Zhang
    Yuanyuan Zhang
    Year: 2019
    Formalizing DIKW Architecture for Modeling Security and Privacy as Typed Resources
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-030-12971-2_10
Yucong Duan1,*, Lougao Zhan1,*, Xinyue Zhang1,*, Yuanyuan Zhang2,*
  • 1: Hainan University
  • 2: Zhejiang Chinese Medical University
*Contact email: duanyucong@hotmail.com, 2286345869@qq.com, yuexinaai@163.com, zyy@zjtcm.net

Abstract

Currently the content of security protection has been expanded multiple sources. The security protection especially of the implicit content from multiple sources poses new challenges to the collection, identification, customization of protection strategies, modeling, etc. We are enlightened by the potential of DIKW (Data, Information, Knowledge, Wisdom) architecture to express semantic of natural language content and human intention. But currently there lacks formalized semantics for the DIKW architecture by itself which poses a challenge for building conceptual models on top of this architecture. We proposed a formalization of the elements of DIKW. The formalization centers the ideology of modeling Data as multiple dimensional hierarchical Types related to observable existence of the Sameness, Information as identification of Data with explicit Difference, Knowledge as applying Completeness of the Type, and Wisdom as variability prediction. Based on this formalization, we propose a solution framework for security concerns centering Type transitions in Graph, Information Graph and Knowledge Graph.