Abstract/Details

Long-text keystroke biometric applications over the Internet


2006 2006

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Abstract (summary)

Biometrics, the computer-based identification of an individual, is becoming increasingly essential due to the increasing demand for high-security systems. Accurate and effective keystroke biometric technology can help provide a major boost to the security of electronic commerce, and it can help curb identify theft. This dissertation focused on keystroke biometric applications operating over the Internet and requiring a text input of several hundred characters. These applications can help identify a perpetrator of inappropriate or fraudulent Internet activity, such as the sending of obscene or inappropriate email. The system developed contained three components. A Java applet collected the raw keystroke data over the Internet, a feature extractor calculated appropriate long-text measurements from the raw data, and a pattern classification system was trained to make the appropriate application-dependent decisions. Experimental results on the keystroke biometric system with 30 users under ideal conditions yielded recognition accuracy of 99.3% showing that our system is highly effective (our "System 3"). The ideal conditions were that a user types a predefined text (copy task) of approximately 600 characters and uses the same keyboard type for both training and testing. Classification accuracy as a function of input text length was also obtained to determine the text length needed to obtain the accuracy required for a particular application.

Indexing (details)


Subject
Computer science
Classification
0984: Computer science
Identifier / keyword
Applied sciences; Biometrics; Internet; Keystroke; Long-text
Title
Long-text keystroke biometric applications over the Internet
Author
Curtin, Mary C.
Number of pages
159
Publication year
2006
Degree date
2006
School code
0483
Source
DAI-B 67/04, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780542639821, 0542639823
Advisor
Tappert, Charles
University/institution
Pace University
University location
United States -- New York
Degree
D.P.S.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3214522
ProQuest document ID
304959853
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304959853
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