Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1835
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dc.contributor.authorArnarasena, Nelum Chathuranga-
dc.date.accessioned2022-04-01T07:13:07Z-
dc.date.available2022-04-01T07:13:07Z-
dc.date.issued2014-12-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1835-
dc.description.abstractThe most common user authentication mechanism is password verification. other words, characterswhich types as text in a password field. However, the aim of this research is to find outwhether the rhythm and/or the style of typing; how types instead of what pes (Keystroke Dynamics), is sufficiently reliable as a security enhancement. This is a biometric approach. Biometric solutions are costly; requires at least one additional sensor. But this study focuses on an economical biometric solution that does not necessitate any additional sens r other than the keyboard.Keystroke dynamics is an interesting biometric because it always invisible for users, unlessthey are physically present, and also it is not depending on a dedicated device or hardware infrastructure. When a person is typing at a keyboard, the detailed timing information that describes exactly when each key was pressed and when it was released and va .ation of speed movingbetween two keys are continuously monitoring in order to recognizes a unique pattern. Thenanother pattern recognition part is operating in stealth mode with the passw rd verification. Thereforeafter the password is verified successfully, the pattern recognition part also needs to be completedin order to authenticate the user. Significance of this research is the way of generating and storing the pattern. As I explained thrgJ.,lghthe literature study keystroke dynamics is not a veryreliable biometric. So the challenge was to make a strong pattern which i hard to reveal usinga less reliable building block which I achieved successfully through this study.en_US
dc.language.isoenen_US
dc.titleAn Approach towards Password Protection Based On Typing Styleen_US
dc.typeThesisen_US
Appears in Collections:2014
MSc. in IT

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