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A Novel Research on Real-Time Intrusion Detection Technology Based on Data Mining
Author(s) -
Kui Yang
Publication year - 2019
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 - 10.1088/1742-6596/1345/5/052016
Subject(s) - intrusion detection system , adaptability , computer science , network security , data mining , intrusion , computer security , ecology , geochemistry , biology , geology
With the wide application of network technology and the continuous development of network economy, network security issues are also increasingly prominent, it gives the network itself and the information system based on network has brought great threat. Adaptive detection based on data mining is the development trend of intrusion detection system, it can adapt to different network environment, and does not depend on expert training data. Based on the reference on the basis of predecessors, this paper proposes a real-time intrusion detection system based on data mining framework structure. Research based on data mining technology, with adaptability and real-time detection function and the structure of the distributed intrusion detection system, to promote the network information security technology and products to develop in the direction of the omni-directional three-dimensional testing and national information safety inspection work is meaningful.

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