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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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
Subjects
Online AccessGet full text
ISSN1345-1510
2424-2586
DOI10.24466/pacbfsa.21.0_120

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Abstract 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.
AbstractList 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.
Author 納富, 一宏
山口, 晶大
石田, 秀春
斎藤, 恵一
Author_FL ISHIDA Hideharu
NOTOMI Kazuhiro
YAMAGUCHI Akihiro
SAITO Keiichi
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  organization: 神奈川工科大学
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  organization: 神奈川工科大学
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  organization: 神奈川工科大学
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Snippet 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...
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StartPage 120
SubjectTerms Biometric
Information security
Key stroke attestation
Self-Organizing Maps
Title 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)
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