A dynamic filtering technique for Sebek system monitoring

被引：0
|
作者：
Balas, Edward [1 ]
Travis, Gregory [1 ]
Viecco, Camilo [1 ]
机构：
[1] Indiana Univ, Adv Network Management Lab, Bloomington, IN 47405 USA
来源：
2006 IEEE INFORMATION ASSURANCE WORKSHOP | 2006年
关键词：
D O I：
10.1109/IAW.2006.1652106
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we investigate the. performance limits of system call based monitoring tools using the Linux version of Sebek as a focal point. We quantify the amount of uninteresting data that it collects and illustrate the problems that this creates: detection of Sebek, amount of work to analyze data, and data privacy. To mitigate these problems we propose a dynamic filtering technique. Finally we evaluate the performance of an implementation of this technique.
引用
收藏
页码：275 / +
页数：2
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