Intrusion detection system based on data mining

被引：2
|
作者：
Zhan Jinhua [1 ]
机构：
[1] Leshan Teachers Coll, Phys & Elect Commun Dept, Sichuan 614000, Peoples R China
来源：
FIRST INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/WKDD.2008.12
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Analyzed recent IDS models, the development of IDS (Intrusion Detection System), and the current and gives a brief introduction to DM (Data Mining) technology. Presented a framework of IDS based on data mining for resolving the current problems IDS is facing. The system that performs anomaly detection can detect intrusions known and unknown, reduce omissions and misstatements, improve accuracy and speed of intrusion detection and has good adaptive capacity and scalability.
引用
收藏
页码：402 / 405
页数：4
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