Title page for etd-0128108-135223


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URN etd-0128108-135223
Author Tsung-Chin Hsin
Author's Email Address funkyhsin@giga.net.tw
Statistics This thesis had been viewed 5350 times. Download 11 times.
Department Computer Science and Engineering
Year 2007
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Design and Implementation of User Authentication Based on Keystroke Dynamic
Date of Defense 2008-01-08
Page Count 84
Keyword
  • User Authentication
  • Biometrics Feature
  • Keystroke Dynamic
  • Abstract In the traditional login systems, we use the username and the password to identify the legalities of users. It is a simple and convenient way to identify, but passwords could be stolen or copied by someone who tries to invade the system illegally. Adding one protective mechanism to identify users, the way of biometrics are brought out, such as keystroke dynamics, fingerprints, DNA, retinas and so on that are unique characteristics of each individuals, it could be more effective in preventing trespassing. This thesis uses keystroke biometrics as research aspects of user authentication. The advantages of this system are low-cost and high security to identify users using keyboard to calculate the time of keystrokes. In this thesis, we use statistical way to examine the researches and experiments. Chosen length of the username and password are greater than or equal to 9 characters, and learning sample sizes are 20 and adapting the sample adaptation mechanism, the results show that we achieved by False Acceptance Rate of 0.85%, False Rejection Rate of 1.51% and Average False Rate of 1.18%; all reach the high levels of safeties.
    Advisory Committee
  • Chia-Mei Chen - chair
  • Chun-I Fan - co-chair
  • D. J. Guan - advisor
  • Files
  • etd-0128108-135223.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2008-01-28

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