2020 VOL.3 Feb No.1

• Title: Research on Anonymous Reconstruction of Multi-Serial Communication Information Flow under Big Data
• Name: Jesse Cornelia
• Company: The University of British Columbia
• Abstract:

  To overcome the shortcomings of the existing network information flow dynamic reconstruction methods in terms of security, reliability, and adverse effects on the original network performance, a method for anonymous reconstruction of multi-serial communication information flows under big data is proposed. First, obtain the original information flow in the communication network, and perform multi-serial communication collaborative filtering on it. After the filtering is completed, the notification information of the relay node is obtained in the information flow and the communication status of the information flow is extracted, and the characteristic information of the information flow is sufficient. Refactoring and anonymization finally complete the anonymous refactoring method. The method of anonymous reconstruction of information flow is tested through experiments, and it is found that the method has a high degree of anonymity.

• Keyword: Big Data; Information Flow; Multi-Serial Communication; Reconstruction Method;
• DOI: 10.12250/jpciams2020010134
• Citation form: Jesse Cornelia.Research on Anonymous Reconstruction of Multi-Serial Communication Information Flow under Big Data[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 13-19.

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