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

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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
Identifiers
URN: urn:nbn:se:liu:diva-6818ISRN: LITH-ISY-EX--06/3819--SEOAI: oai:DiVA.org:liu-6818DiVA: diva2:22012
Uppsok
teknik
Supervisors
Examiners
Available from: 2006-06-19 Created: 2006-06-19

Open Access in DiVA

fulltext(358 kB)628 downloads
File information
File name FULLTEXT01.pdfFile size 358 kBChecksum MD5
a51c706173d2374a45a54c477a29c5ebfbe6b6860e1e215c84305bae294f2badd059f66b
Type fulltextMimetype application/pdf

By organisation
Department of Electrical Engineering
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 628 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

urn-nbn

Altmetric score

urn-nbn
Total: 377 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf