Mining event logs with SLCT and LogHound

被引：42
|
作者：
Vaarandi, Risto [1 ]
机构：
[1] Cooperat Cyber Def Ctr Excellence, Tallinn, Estonia
来源：
2008 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, VOLS 1 AND 2 | 2008年
关键词：
event log analysis; data security; data mining;
D O I：
10.1109/NOMS.2008.4575281
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 growth of communication networks, event logs are increasing in size at a fast rate. Today, it is not uncommon to have systems that generate tens of gigabytes of log data per day. Log data are likely to contain information that deserves closer attention - such as security events - but the task of reviewing logs manually is beyond the capabilities of a human. This paper discusses data mining tools SLCT and LogHound that were designed for assisting system management personnel in extracting knowledge from event logs.
引用
收藏
页码：1071 / 1074
页数：4
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