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

Direct link
Identity Verification using Keyboard Statistics.
Linköping University, Department of Electrical Engineering.
2004 (English)Independent thesis Basic level (professional degree)Student thesisAlternative title
Identitetsverifiering med användning av tangentbordsstatistik. (Swedish)
Abstract [en]

In the age of a networking revolution, when the Internet has changed not only the way we see computing, but also the whole society, we constantly face new challenges in the area of user verification. It is often the case that the login-id password pair does not provide a sufficient level of security. Other, more sophisticated techniques are used: one-time passwords, smart cards or biometric identity verification. The biometric approach is considered to be one of the most secure ways of authentication.

On the other hand, many biometric methods require additional hardware in order to sample the corresponding biometric feature, which increases the costs and the complexity of implementation. There is however one biometric technique which does not demand any additional hardware – user identification based on keyboard statistics. This thesis is focused on this way of authentication.

The keyboard statistics approach is based on the user’s unique typing rhythm. Not only what the user types, but also how she/he types is important. This report describes the statistical analysis of typing samples which were collected from 20 volunteers, as well as the implementation and testing of the identity verification system, which uses the characteristics examined in the experimental stage.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2004. , 43 p.
LiTH-ISY-Ex, 3508
Keyword [en]
Informationsteknik, biometrics, identity verification, keyboard statistics, keystroke dynamics
Keyword [sv]
National Category
Computer and Information Science
URN: urn:nbn:se:liu:diva-2265OAI: diva2:19595
Available from: 2004-03-22 Created: 2004-03-22

Open Access in DiVA

fulltext(679 kB)793 downloads
File information
File name FULLTEXT01.pdfFile size 679 kBChecksum SHA-1
Type fulltextMimetype application/pdf

By organisation
Department of Electrical Engineering
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 793 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: 944 hits
ReferencesLink to record
Permanent link

Direct link