Practical User Identification for Masquerade Detection

被引：0

作者：

Shim, Charlie Y. ^{[1
]}

Kim, Jung Yeop ^{[2
]}

Gantenbein, Rex E. ^{[3
]}

机构：

[1] Kutztown Univ Penn, Dept Comp Sci, Kutztown, PA 19530 USA

[2] Utica Coll, Dept Comp Sci, Utica, NY 13502 USA

[3] Univ Wyoming, Dept Comp Sci, Laramie, WY 82071 USA

来源：

WCECS 2008: ADVANCES IN ELECTRICAL AND ELECTRONICS ENGINEERING - IAENG SPECIAL EDITION OF THE WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, PROCEEDINGS | 2009年

关键词：

intrusion detection systems; masquerade detection; normal profiles; support vector machines;

D O I：

10.1109/WCECS.2008.14

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Masquerade detection discovers suspicious activities in a computer system by creating users' normal profiles, then raising an alert when the audited behavior does not fit. We propose to apply the SVM algorithm to the concurrently employed patterns that have been weighted according to their frequencies in order to identify masquerading attacks. Our approach not only reduces the complexity of the system but also is more robust in controlling noisy instances of the audited behavior.

引用

页码：47 / +

页数：3

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