2019 VOL.2 Feb No.1

• Title: Big data under the environment of heterogeneous network security monitoring methods
• Name: Ailsa Richard
• Company: Princeton University,The United States of America
• Abstract:

  The complexity of the safe conduct large-scale heterogeneous network environment, existing network management technology and lack of good safety monitoring method for the mass of the original data. This paper presents a heterogeneous network security monitoring systems analyze large data model. Construction of network security monitoring system model, the introduction of large data, to improve the monitoring accuracy by calculating association and security, to achieve a heterogeneous network security monitoring, and to provide a visual comparison of the results in the conclusion. Data show that the proposed method of monitoring is safe. 90% is three times the traditional method, which proves the feasibility of the heterogeneous network security monitoring system model.

• Keyword: big data environment; heterogeneous network; security monitoring; association algorithm;
• DOI: 10.12250/jpciams2019010122
• Citation form: Ailsa Richard.Big data under the environment of heterogeneous network security monitoring methods[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 36-40.

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