Brain signal based continuous authentication: Functional NIRS approach

Michitaro Shozawa, Ryota Yokote, Seira Hidano, Chi Hua Wu, Yasuo Matsuyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    A new approach to continuous authentication is presented. The method is based on a combination of statistical decision machines for brain signals. Functional Near InfraRed Spectroscopy (NIRS) is used to measure brain oxyhemoglobin changes for each subject to be authenticated. Such biosignal authentication is expected to be a viable complementary method to traditional static security systems. The designed system is based on a discriminant function which utilizes the average weight vector of one-versus-one support vector machines for NIRS spectra. By computing a histogram of Mahalanobis distances, high separability among subjects was recognized. This experimental result guarantees the utility of brain NIRS signals to the continuous authentication.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages171-180
    Number of pages10
    Volume7903 LNCS
    EditionPART 2
    DOIs
    Publication statusPublished - 2013
    Event12th International Work-Conference on Artificial Neural Networks, IWANN 2013 - Puerto de la Cruz, Tenerife
    Duration: 2013 Jun 122013 Jun 14

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume7903 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other12th International Work-Conference on Artificial Neural Networks, IWANN 2013
    CityPuerto de la Cruz, Tenerife
    Period13/6/1213/6/14

    Fingerprint

    Near-infrared Spectroscopy
    Near infrared spectroscopy
    Authentication
    Brain
    Discriminant Function
    Mahalanobis Distance
    Separability
    Security systems
    Histogram
    Support vector machines
    Support Vector Machine
    Computing
    Experimental Results

    Keywords

    • brain activities
    • Continuous authentication
    • NIRS
    • SVM

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Shozawa, M., Yokote, R., Hidano, S., Wu, C. H., & Matsuyama, Y. (2013). Brain signal based continuous authentication: Functional NIRS approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 7903 LNCS, pp. 171-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7903 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-38682-4_20

    Brain signal based continuous authentication : Functional NIRS approach. / Shozawa, Michitaro; Yokote, Ryota; Hidano, Seira; Wu, Chi Hua; Matsuyama, Yasuo.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7903 LNCS PART 2. ed. 2013. p. 171-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7903 LNCS, No. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Shozawa, M, Yokote, R, Hidano, S, Wu, CH & Matsuyama, Y 2013, Brain signal based continuous authentication: Functional NIRS approach. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 7903 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7903 LNCS, pp. 171-180, 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, 13/6/12. https://doi.org/10.1007/978-3-642-38682-4_20
    Shozawa M, Yokote R, Hidano S, Wu CH, Matsuyama Y. Brain signal based continuous authentication: Functional NIRS approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 7903 LNCS. 2013. p. 171-180. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-38682-4_20
    Shozawa, Michitaro ; Yokote, Ryota ; Hidano, Seira ; Wu, Chi Hua ; Matsuyama, Yasuo. / Brain signal based continuous authentication : Functional NIRS approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7903 LNCS PART 2. ed. 2013. pp. 171-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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