DocumentCode
2286845
Title
Mining event logs with SLCT and LogHound
Author
Vaarandi, Risto
Author_Institution
Cooperative Cyber Defence Centre of Excellence, Tallinn
fYear
2008
fDate
7-11 April 2008
Firstpage
1071
Lastpage
1074
Abstract
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 log hound that were designed for assisting system management personnel in extracting knowledge from event logs.
Keywords
data mining; security of data; telecommunication computing; LogHound; communication networks; event log analysis; event logs mining; log data; security events; system management personnel; Algorithm design and analysis; Clustering algorithms; Communication networks; Communication system security; Data analysis; Data mining; Data security; Event detection; Monitoring; Personnel; data mining; data security; event log analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
Conference_Location
Salvador, Bahia
ISSN
1542-1201
Print_ISBN
978-1-4244-2065-0
Electronic_ISBN
1542-1201
Type
conf
DOI
10.1109/NOMS.2008.4575281
Filename
4575281
Link To Document