RVM Assessment Model for Computer Network Attack

被引：0

作者：

Yang, Yang ^{[1
]}

Yu, Wang ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China

来源：

ICCSIT 2010 - 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 3 | 2010年

关键词：

computer network; assessment method; network attack; relevance vector machine; CLASSIFICATION;

D O I：

10.1109/ICCSIT.2010.5564668

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Assessment for computer network attack is a technology for assessing hostile attacks against computer network system. In the paper, relevance vector machine is applied to assessment for computer network attack. Compared with support vector machine assessment method, the RVM method can provide better classification accuracy. The experimental data collected in the paper include U2R attack, R2L attack, Probe attack and DoS attack. It can be seen from the experimental results that it is an effective model for assessment of network attack.

引用

页码：104 / 107

页数：4

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