Practical evaluation of extended picture password method using behavioral profile for a biometrics authentication

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  • HOSHINO Yuki
    Graduate School of Engineering, Kanagawa Institute of Technology
  • NOTOMI Kazuhiro
    Graduate School of Engineering, Kanagawa Institute of Technology
  • SAITO Keiichi
    Graduate School of Health and Welfare Sciences, International University of Health and Welfare

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Other Title
  • ピクチャーパスワードへの 行動的特徴量付与による生体認証手法の実用性評価
  • ピクチャーパスワード エ ノ コウドウテキ トクチョウリョウ フヨ ニ ヨル セイタイ ニンショウ シュホウ ノ ジツヨウセイ ヒョウカ

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Description

The pattern authentication method of Smartphone (e.g. Android lock pattern) has risks of being stolen by the screen peeping (i.e. shoulder hacking) or being conjectured by residue on the screen. Accordingly, in the previous experiment, we have tried to develop a security enhancement method for pattern authentication of smartphone. To facilitate the user authentication in the same way as the pattern authentication, we applied self-organizing maps (SOM) as a machine-earner/classifier for the authentication. It builds on both the picture- password using locus and the angle of device holding. The result suggested the possibility to enhance the security of pattern authentication. In this article, we verify practical use of an extended picture-password method using behavioral profile and SOM for a biometrics authentication by the experiments.

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