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author:

Chen, Biqiong (Chen, Biqiong.) [1] | Liu, Yanhua (Liu, Yanhua.) [2] (Scholars:刘延华) | Zheng, YaNing (Zheng, YaNing.) [3]

Indexed by:

CPCI-S

Abstract:

With the rapid development of network technology, security data is becoming more and more complex. Since the multi-source heterogeneous, complex scattered data security have been expanding, traditional relational database difficult toefficiently handle complex and diverse analysis of the relationship between big data security. In view of the above problems, this paper proposes an ontology-based network security knowledge map design method to more accurately describe the complex relationship between security elements. According to the actual needs of security analysis, using the ontological idea, design a multi-level security ontology system and study the relationship between ontology; Propose a mapping mechanism between the security ontology and the security knowledge map; The security knowledge map for multi-source data is constructed by using the graph database storage mode to provide important technical support for the construction and application research of the network security knowledge base.

Keyword:

Associated Complexity Knowledge Map Neo4j Protege Security ontology

Community:

  • [ 1 ] [Chen, Biqiong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Liu, Yanhua]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou, Fujian, Peoples R China
  • [ 3 ] [Zheng, YaNing]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou, Fujian, Peoples R China
  • [ 4 ] [Chen, Biqiong]Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou, Fujian, Peoples R China
  • [ 5 ] [Liu, Yanhua]Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou, Fujian, Peoples R China
  • [ 6 ] [Zheng, YaNing]Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • 刘延华

    [Liu, Yanhua]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou, Fujian, Peoples R China;;[Liu, Yanhua]Fujian Prov Key Lab Network Comp & Intelligent In, Fuzhou, Fujian, Peoples R China

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Source :

2018 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, BIG DATA AND BLOCKCHAIN (ICCBB 2018)

Year: 2018

Page: 36-42

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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