自己組織化マップを用いた打鍵リズムによるバイオメトリクス認証(一般講演G,生体信号解析)

In this article, we introduce a method of personal authentication with keystroke rhythm patterns based on Self-Organizing Maps (SOM). Our method is simple but convenient for login to Web application systems on the Internet as a low-cost biometric authentication, which is important in information sec...

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Bibliographic Details
Published inバイオメディカル・ファジィ・システム学会大会講演論文集 Vol. 21; pp. 120 - 123
Main Authors 斎藤, 恵一, 石田, 秀春, 納富, 一宏, 山口, 晶大
Format Journal Article
LanguageJapanese
Published バイオメディカル・ファジィ・システム学会 2008
Biomedical Fuzzy Systems Association
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ISSN1345-1510
2424-2586
DOI10.24466/pacbfsa.21.0_120

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Summary:In this article, we introduce a method of personal authentication with keystroke rhythm patterns based on Self-Organizing Maps (SOM). Our method is simple but convenient for login to Web application systems on the Internet as a low-cost biometric authentication, which is important in information security today. We implemented the prototype program in Java, and experimented with it. In the experiment, 10 subjects tried to type their own passphrase rhythmically in 4 times, and these collected rhythm patterns were evaluated with SOM. As a result, keystroke rhythm patterns are useful for personal authentication, so that both FAR (False Accept Rate) and FRR (False Reject Rate) are less than 8%. It is effective to use our method with other biometric authentication methods.
ISSN:1345-1510
2424-2586
DOI:10.24466/pacbfsa.21.0_120