Title: Intrusion detection of hierarchical distribution network system based on machine computation

Authors: Xiaohong He

Addresses: CISDI Electric Technology Co., Ltd., Chongqing 400013, China

Abstract: In order to solve the problems of low detection accuracy and long detection time of traditional hierarchical distributed system intrusion detection method, a hierarchical distributed system intrusion detection method based on machine computing is proposed. By judging the Chinese protocol type of IP message and the control bit value of TCP, the network traffic is transformed into different sub-flows, and the characteristic parameters of traffic behaviour are extracted from the sub-flows. Based on the invasion behaviour characteristics obtained, the vector with six-dimensional characteristics is selected as the important symbol of invasion. By combining rule detection method, support vector machine and machine learning classification, the intrusion detection of hierarchical distribution network system is realised by embedding detection modules at different levels. Experimental results show that this method can effectively reduce intrusion detection time and improve detection accuracy.

Keywords: machine computation; hierarchical distribution network; system intrusion detection.

DOI: 10.1504/IJICT.2021.115589

International Journal of Information and Communication Technology, 2021 Vol.18 No.4, pp.371 - 385

Received: 21 Dec 2019
Accepted: 09 Jan 2020
Published online: 11 Jun 2021 *

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