liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Detecting SSH identity theft in HPC cluster environments using Self-organizing maps
Linköping University, Department of Electrical Engineering.
2006 (English)Independent thesis Basic level (professional degree), 20 points / 30 hpStudent thesis
Abstract [en]

Many of the attacks on computing clusters and grids have been performed by using stolen authentication passwords and unprotected SSH keys, therefore there is a need for a system that can detect intruders masquerading as ordinary users. Our assumption is that an attacker behaves significantly different compared to an ordinary user. Previous work in this area is for example statistical analysis of process accounting using Support Vector Machines. We can formalize this into a classification problem that we will solve with Self-organizing maps. The proposed system will work in a tier model that uses process accounting and SSH log messages as data sources.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2006. , 49 p.
Keyword [en]
SSH identity theft, cluster security, intrusion detection, Self organizing
National Category
Computer and Information Science
URN: urn:nbn:se:liu:diva-6818ISRN: LITH-ISY-EX--06/3819--SEOAI: diva2:22012
Available from: 2006-06-19 Created: 2006-06-19

Open Access in DiVA

fulltext(358 kB)607 downloads
File information
File name FULLTEXT01.pdfFile size 358 kBChecksum MD5
Type fulltextMimetype application/pdf

By organisation
Department of Electrical Engineering
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 607 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 348 hits
ReferencesLink to record
Permanent link

Direct link