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dc.contributor.authorGüven, Aykut
dc.contributor.authorSoğukpınar, İbrahim
dc.identifier.citationGÜVEN, A., SOĞUKPINAR, İ. (2003). Biometric security system design using keystroke rhythms algorithm. (edited by İ. ÇİÇEKLİ, N.K. ÇİÇEKLİ, E. GELENBE), Proceedings of the 17th International Symposium on Computer and Information Sciences, Florida, CRC Press, pp. 220-224.en_US
dc.identifier.other00017946890004 (WOS)
dc.description.abstractBiometric technologies are becoming a vital part of computerized security systems. It is likely that biometric security technologies will be of greater importance in the light of terrorism, threads to computer systems. Biometric principals can be generalized as the automatic detection of a person's suitable physical or neuro physical characteristics. Furthermore physical characteristics refer to the physical properties or attributes of a person that are inherited and neuro physical characteristics are those that depend on person's behavior. This paper presents the idea of Keystroke Identification classified as a neuro physical characteristics for the purposes of a security system. Pattern recognition in neuro physical security systems have often proof to be difficult. To date two methods are deployed for keystroke pattern recognition. These are based on statistical or vector algorithms. This paper extends the domain of vector based biometric algorithms with a view to increase recognition frequency and reliability.en_US
dc.publisherCRC Press-Taylor & Francis Groupen_US
dc.subjectKeystroke İdentificationen_US
dc.subjectPattern Recognitionen_US
dc.subjectComputer Securityen_US
dc.titleBiometric security system design using keystroke rhythms algorithmen_US
dc.relation.journalProceedings of the 17th International Symposium on Computer and Information Sciencesen_US
dc.contributor.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US

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