2020 VOL.3 Feb No.1

• Title: Research on Active Attack Data Location and Early Warning Method for Automatic Defense Network
• Name: Vaisakh Ghosh
• Company: Catholic Universty Of Daegu
• Abstract:

  The traditional automatic defense network active attack data location early warning method has the disadvantage of poor positioning performance. To this end, a research on the automatic defense network active attack data location early warning method is proposed. The active attack data is detected through the spatial distance of the network node data to determine whether there is active attack data in the network. Based on the detected active attack data, a multi-target binary particle swarm task allocation algorithm is used to obtain the active attack data location task. Based on the optimal allocation scheme, the speed learning machine algorithm is adopted to realize the location and early warning of active attack data. It is obtained through experiments that the convergence value of the proposed automatic defense network active attack data positioning early warning method increases by 23.61% and the positioning error rate decreases by 15% compared with the traditional method. It fully demonstrates that the proposed method for locating early warning data of active defense network active attacks has better positioning performance.

• Keyword: Automatic Defense; Network; Active Attack Data; Positioning; Early Warning
• DOI: 10.12250/jpciams2020010116
• Citation form: Vaisakh Ghosh.Research on Active Attack Data Location and Early Warning Method for Automatic Defense Network[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 127-133.

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