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    자유로운 문자열의 키스트로크 다이나믹스를 활용한 사용자 인증 연구 = A Study on User Authentication based on Keystroke Dynamics of Long and Free Texts

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    https://www.riss.kr/link?id=A60282594

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Keystroke dynamics refers to a way of typing a string of characters. Since one has his/her own typing behavior, one’s keystroke dynamics can be used as a distinctive biometric feature for user authentication. In this paper, two authentication algorithms based on keystroke dynamics of long and free texts are proposed. The first is the K-S score, which is based on the Kolmogorov-Smirnov test, and the second is the ‘R-A’ measure, which combines ‘R’ and ‘A’ measures proposed by Gunetti and Picardi (2005). In order to verify the authentication performance of the proposed algorithms, we collected more than 3,000 key latencies from 34 subjects in Korean and 35 subjects in English. Compared with three benchmark algorithms, we found that the K-S score was outstanding when the reference and test key latencies were not sufficient, while the ‘R-A’ measure was the best when enough reference and test key latencies were provided.
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    Keystroke dynamics refers to a way of typing a string of characters. Since one has his/her own typing behavior, one’s keystroke dynamics can be used as a distinctive biometric feature for user authentication. In this paper, two authentication algori...

    Keystroke dynamics refers to a way of typing a string of characters. Since one has his/her own typing behavior, one’s keystroke dynamics can be used as a distinctive biometric feature for user authentication. In this paper, two authentication algorithms based on keystroke dynamics of long and free texts are proposed. The first is the K-S score, which is based on the Kolmogorov-Smirnov test, and the second is the ‘R-A’ measure, which combines ‘R’ and ‘A’ measures proposed by Gunetti and Picardi (2005). In order to verify the authentication performance of the proposed algorithms, we collected more than 3,000 key latencies from 34 subjects in Korean and 35 subjects in English. Compared with three benchmark algorithms, we found that the K-S score was outstanding when the reference and test key latencies were not sufficient, while the ‘R-A’ measure was the best when enough reference and test key latencies were provided.

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    목차 (Table of Contents)

    • 1. 서론
    • 2. 자유로운 문자열의 키스트로크 다이나믹스 기반 사용자 인증 방법론
    • 3. 사용자 인증 실험 설계
    • 4. 사용자 인증 실험 결과
    • 5. 결론 및 향후 연구 방향
    • 1. 서론
    • 2. 자유로운 문자열의 키스트로크 다이나믹스 기반 사용자 인증 방법론
    • 3. 사용자 인증 실험 설계
    • 4. 사용자 인증 실험 결과
    • 5. 결론 및 향후 연구 방향
    • 참고문헌
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    참고문헌 (Reference)

    1 Sinthupinyo, S, "User Recognition via Keystroke Latencies using SOM and Backpropagation Neural Network" 3160-3165, 2009

    2 Peacock, A., "Typing Patterns : A Key to User Identification" 2 (2): 40-47, 2004

    3 Frank, J, "The Kolmogorov-Smirnov Test for Goodness of Fit" 46 (46): 68-78, 1951

    4 Yager, N, "The Biometric Menagerie,IEEE Transactions on Pattern Analysis and Machine" 32 (32): 220-230, 2010

    5 Yan, J., "Password Memorability and Security : Empirical Results" 2 (2): 25-31, 2004

    6 Monrose, F., "Password Hardening based on Keystroke Dynamics" 1 (1): 69-83, 2002

    7 Filho, J. R. M, "On the Equalization of Keystroke Timing Histograms" 27 (27): 1440-1446, 2006

    8 Giot, R., "Low Cost and Usable Multimodal Biometric System based on Keystroke Dynamics and 2D Face Recognition" 1128-1131, 2010

    9 Monrose, F, "Keystroke Dynamics as a Biometric for Authentication" 16 (16): 351-359, 2000

    10 Crawford, H, "Keystroke Dynamics : Characteristics and Opportunities" 205-212, 2010

    1 Sinthupinyo, S, "User Recognition via Keystroke Latencies using SOM and Backpropagation Neural Network" 3160-3165, 2009

    2 Peacock, A., "Typing Patterns : A Key to User Identification" 2 (2): 40-47, 2004

    3 Frank, J, "The Kolmogorov-Smirnov Test for Goodness of Fit" 46 (46): 68-78, 1951

    4 Yager, N, "The Biometric Menagerie,IEEE Transactions on Pattern Analysis and Machine" 32 (32): 220-230, 2010

    5 Yan, J., "Password Memorability and Security : Empirical Results" 2 (2): 25-31, 2004

    6 Monrose, F., "Password Hardening based on Keystroke Dynamics" 1 (1): 69-83, 2002

    7 Filho, J. R. M, "On the Equalization of Keystroke Timing Histograms" 27 (27): 1440-1446, 2006

    8 Giot, R., "Low Cost and Usable Multimodal Biometric System based on Keystroke Dynamics and 2D Face Recognition" 1128-1131, 2010

    9 Monrose, F, "Keystroke Dynamics as a Biometric for Authentication" 16 (16): 351-359, 2000

    10 Crawford, H, "Keystroke Dynamics : Characteristics and Opportunities" 205-212, 2010

    11 Gunetti, D, "Keystroke Analysis of Free Text" 8 (8): 312-347, 2005

    12 강필성, "Improvement of keystroke data quality through artificial rhythms and cues" Pergamon Press Ltd. 27 (27): 3-11, 200803

    13 Kang, P, "Hybrid Novelty Score and Its Use in Keystroke Dynamics-based User Authentication" 42 (42): 3115-3127, 2009

    14 Hosseinzadeh, D, "Gaussian Mixture Modeling of Keystroke Patterns for Biometric Applications" 38 (38): 816-826, 2008

    15 Bleha, S., "Computer-access Security Systems using Keystroke Dynamics" 12 (12): 1217-1222, 1990

    16 Jain, A. K., "Biometrics : Personal Identification in Networked Society" Kluwer 1999

    17 Furnell, S, "Biometrics : No Silver Bullets" 2005 (2005): 9-14, 2005

    18 Prabhakar, S., "Biometric Recognition : Security and Privacy Concerns" 1 (1): 33-42, 2003

    19 Zhang, Y., "Authenticating User’s Keystroke based on Statistical Models" 578-581, 2010

    20 Chen, W, "Applying Hidden Markov Models to Keystroke Pattern Analysis for Password Verification" 467-474, 2004

    21 Zissis, D, "Addressing Cloud Computing Security Issues" 2010

    22 Hu, J., "A k-Nearest Neighbor Approach for User Authentication through Biometric Keystroke Dynamics" 1156-1560, 2007

    23 Subashini, S, "A Survey on Security Issues in Service Delivery Models of Cloud Computing" 34 (34): 1-11, 2011

    24 Sheng, Y., "A Parallel Decision Treebased Method for User Authentication based on Keystroke Patterns" 35 (35): 826-833, 2005

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