Open AccessResearch on Application of Data Mining Technology in Network Intrusion Detection
Author(s) -
Haibo Song,
Yan Yin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/3/032115
Subject(s) - intrusion detection system , data mining , anomaly based intrusion detection system , computer science , intrusion , intrusion prevention system , geology , geochemistry
In order to improve the efficiency of intrusion detection systems, data mining technology is applied to network intrusion detection. This article introduces the basic concepts of intrusion detection systems, describes the techniques commonly used in data mining research in intrusion detection systems, proposes an intrusion detection system based on data mining, and an improved k-means algorithm.