The Experts below are selected from a list of 2505 Experts worldwide ranked by ideXlab platform

Feng Chunhai - One of the best experts on this subject based on the ideXlab platform.

Aythami Morales - One of the best experts on this subject based on the ideXlab platform.

  • biotouchpass demo handwritten Passwords for touchscreen biometrics
    ACM Multimedia, 2019
    Co-Authors: Ruben Tolosana, Ruben Verarodriguez, Julian Fierrez, Aythami Morales
    Abstract:

    BioTouchPass enhances Traditional authentication systems based on Personal Identification Numbers (PIN) and One-Time Passwords (OTP) through the incorporation of biometric information from handwriting as a second level of user authentication. In our proposed approach, users draw each digit of the Password on the touchscreen of the device instead of typing them as usual. This way the security of the authentication system increases as impostors need more than the Traditional Password to get access to the system. BioTouchPass achieves results with Equal Error Rates (EERs) ca. 4.0% when the attacker knows the Password, outperforming other authentication schemes based on touch biometrics, and providing a user-friendly interface easily adaptable to a variety of mobile devices and application scenarios.

  • ACM Multimedia - BioTouchPass Demo: Handwritten Passwords for Touchscreen Biometrics
    Proceedings of the 27th ACM International Conference on Multimedia, 2019
    Co-Authors: Ruben Tolosana, Julian Fierrez, Ruben Vera-rodriguez, Aythami Morales
    Abstract:

    BioTouchPass enhances Traditional authentication systems based on Personal Identification Numbers (PIN) and One-Time Passwords (OTP) through the incorporation of biometric information from handwriting as a second level of user authentication. In our proposed approach, users draw each digit of the Password on the touchscreen of the device instead of typing them as usual. This way the security of the authentication system increases as impostors need more than the Traditional Password to get access to the system. BioTouchPass achieves results with Equal Error Rates (EERs) ca. 4.0% when the attacker knows the Password, outperforming other authentication schemes based on touch biometrics, and providing a user-friendly interface easily adaptable to a variety of mobile devices and application scenarios.

Aykut Coskun - One of the best experts on this subject based on the ideXlab platform.

  • DPM/CBT@ESORICS - User Perceptions of Security and Usability of Mobile-Based Single Password Authentication and Two-Factor Authentication
    Lecture Notes in Computer Science, 2019
    Co-Authors: Devris Isler, Alptekin Küpçü, Aykut Coskun
    Abstract:

    Two-factor authentication provides a significant improvement over the security of Traditional Password-based authentication by requiring users to provide an additional authentication factor, e.g., a code generated by a security token. In this decade, single Password authentication (SPA) schemes are introduced to overcome the challenges of Traditional Password authentication, which is vulnerable to the offline dictionary, phishing, honeypot, and man-in-the-middle attacks. Unlike classical Password-based authentication systems, in SPA schemes the user is required to remember only a single Password (and a username) for all her accounts, while the Password is protected against the aforementioned attacks in a provably secure manner.

Ruben Tolosana - One of the best experts on this subject based on the ideXlab platform.

  • biotouchpass demo handwritten Passwords for touchscreen biometrics
    ACM Multimedia, 2019
    Co-Authors: Ruben Tolosana, Ruben Verarodriguez, Julian Fierrez, Aythami Morales
    Abstract:

    BioTouchPass enhances Traditional authentication systems based on Personal Identification Numbers (PIN) and One-Time Passwords (OTP) through the incorporation of biometric information from handwriting as a second level of user authentication. In our proposed approach, users draw each digit of the Password on the touchscreen of the device instead of typing them as usual. This way the security of the authentication system increases as impostors need more than the Traditional Password to get access to the system. BioTouchPass achieves results with Equal Error Rates (EERs) ca. 4.0% when the attacker knows the Password, outperforming other authentication schemes based on touch biometrics, and providing a user-friendly interface easily adaptable to a variety of mobile devices and application scenarios.

  • ACM Multimedia - BioTouchPass Demo: Handwritten Passwords for Touchscreen Biometrics
    Proceedings of the 27th ACM International Conference on Multimedia, 2019
    Co-Authors: Ruben Tolosana, Julian Fierrez, Ruben Vera-rodriguez, Aythami Morales
    Abstract:

    BioTouchPass enhances Traditional authentication systems based on Personal Identification Numbers (PIN) and One-Time Passwords (OTP) through the incorporation of biometric information from handwriting as a second level of user authentication. In our proposed approach, users draw each digit of the Password on the touchscreen of the device instead of typing them as usual. This way the security of the authentication system increases as impostors need more than the Traditional Password to get access to the system. BioTouchPass achieves results with Equal Error Rates (EERs) ca. 4.0% when the attacker knows the Password, outperforming other authentication schemes based on touch biometrics, and providing a user-friendly interface easily adaptable to a variety of mobile devices and application scenarios.

Sung Bum Pan - One of the best experts on this subject based on the ideXlab platform.

  • Hardware implementation of the fuzzy fingerprint vault system
    2010
    Co-Authors: Sung Jin Lim, Seung-hoon Chae, Hae-min Moon, Sung Bum Pan
    Abstract:

    According to the number of Internet in widely use and the development of the related application, the need of security system which can protect individual information has increased. Biometrics-based user authentication has several advantages over Traditional Password-based systems for standalone authentication applications. However, security of biometric data is particularly important as the compromise of the data will be permanent. In this paper, we explain the fuzzy fingerprint vault system combining geometric hashing-based fingerprint authentication and fuzzy vault to protect fingerprint templates. Also, we propose the FPGA-based fuzzy fingerprint vault system for real-time processing.

  • VLSI implementation of the fuzzy fingerprint vault system
    IEICE Electronics Express, 2010
    Co-Authors: Sung Jim Lim, Seung-hoon Chae, Sung Bum Pan
    Abstract:

    Biometrics-based user authentication has several advantages over Traditional Password-based systems for standalone authentication applications. The fingerprint is evaluated as the most realistic alternative up to the present time in the perspectives of availability, accuracy and economy. However, serious problems may cause if fingerprint information stored for user authentication is used illegally by a different person since it cannot be changed freely as a Password due to a limited number of fingers. Recently, research in fuzzy fingerprint vault system has been carried out actively to safely protect fingerprint information in a fingerprint authentication system. In this paper, we propose the FPGA-based fuzzy fingerprint vault system for real-time processing. Based on the experimental results, we confirmed that the proposed system takes 0.53 second with 36 real minutiae and 400 chaff minutiae.

  • FGIT-FGCN - VLSI Architecture for the Fuzzy Fingerprint Vault with Automatic Alignment Module
    Communication and Networking, 2009
    Co-Authors: Sung Jin Lim, Seung-hoon Chae, Deasung Moon, Yongwha Chung, Namil Lee, Sung Bum Pan
    Abstract:

    Biometrics-based user authentication has several advantages over the Traditional Password-based systems for standalone authentication applications. However, security of biometric data is particularly important as the compromise of the data will be permanent. In this paper, we explain the fuzzy fingerprint vault system combining geometric hashing-based fingerprint authentication and fuzzy vault to protect fingerprint templates. Also, we propose the FPGA-based fuzzy fingerprint vault system for real-time processing. Based on the experimental results, we confirmed that the proposed system takes 0.11(0.51) second with 29 real minutiae and 100(400) chaff minutiae.