print

An unsupervised framework for detecting anomalous messages from syslog log files

author
Vaarandi, Risto
Blumbergs, Bernhards
Kont, Markus
statement of authorship
Risto Vaarandi, Bernhards Blumbergs, Markus Kont
source
Network operations and management symposium : cognitive mangement in a cyber world, 23-27 april 2018, Taipei, Taiwan
publisher
IEEE
year of publication
2018
pages
6 p
conference name, date
NOMS 2018 : 2018 IEEE/IFIP Network Operations and Management Symposium : Cognitive Mangement in a Cyber World, 23-27 april, 2018
conference location
Taipei, Taiwan
url
http://doi.org/10.1109/NOMS.2018.8406283
subject term
süsteemide modelleerimine
algoritmid
andmekaeve
subject of form
konverentsikogumikud
keyword
anomaly detection for system logs
pattern mining from log files
LogCluster algorithm
ISSN
2374-9709
ISBN
978-1-5386-3417-2
notes
Bibliogr.: 20 ref
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Centre for digital forensics and cyber security
Centre for maritime cybersecurity
Vaarandi, R., Blumbergs, B., Kont, M. An unsupervised framework for detecting anomalous messages from syslog log files // Network operations and management symposium : cognitive mangement in a cyber world, 23-27 april 2018, Taipei, Taiwan. : IEEE, 2018. 6 p. http://doi.org/10.1109/NOMS.2018.8406283