Distributed Intrusion Detection Based on Outlier Mining

被引：0

作者：

Da, Wei ^{[1
]}

Ting, Han Shao ^{[1
]}

机构：

[1] Beijing Univ Chem Technol, Beijing 100029, Peoples R China

来源：

PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATION, ELECTRONICS AND AUTOMATION ENGINEERING | 2013年 / 181卷

关键词：

Intrusion Detection System; outlier mining;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the rapid development of Internet and network technologies, intrusion detection system (IDS) is expected to be more intelligent. Generally, IDS in current use can rarely meet actual requirements in performance, accuracy and distributed characteristics. In this paper, we present a distributed network intrusion detection system, in which an improved outlier mining method on clustering is introduced. Experimental results prove that both traditional attacks like SYN flooding, and distributed attacks such as DDoS, can be detected effectively with visible accuracy rate and reliability.

引用

页码：343 / 348

页数：6

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