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Researches of information security on mobile phones for non-technical people using psychology and behavior

Research Project

Project/Area Number 26870660
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Web informatics, Service informatics
Information security
Research InstitutionTokyo University of Technology

Principal Investigator

UDA Ryuya  東京工科大学, コンピュータサイエンス学部, 講師 (50350509)

Project Period (FY) 2014-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords専門的知識を有しない利用者へのセキュリティ技術 / スマートフォンのセキュリティ / 情報セキュリティ / 個人情報保護 / 個人識別 / バイオメトリクス / セキュリティ強化
Outline of Final Research Achievements

The aim of this project is to provide new technological secure methods for smartphone users who are not unfamiliar with information literacy. The most significant output is a method for enhancing security of inputting password on smartphones. Password identification on smartphones is enhanced by personal characteristics on flick inputs. The method requires no additional special device or special training for security. In addition, there are some more outputs which are a file access control method on virtual OS, a method for finding vulnerable web sites and a deterrence method of walking while on the phone. As a result, we found that deep learning was effective for the automatic classification of web site and deterrence was more effective than prevention for stopping walking while on the phone, while implementation on virtual OS was difficult.

Report

(5 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • 2014 Research-status Report
  • Research Products

    (14 results)

All 2018 2017 2016 2015 2014

All Journal Article (5 results) (of which Peer Reviewed: 5 results,  Acknowledgement Compliant: 2 results) Presentation (8 results) (of which Int'l Joint Research: 4 results) Patent(Industrial Property Rights) (1 results)

  • [Journal Article] Classification of Web Site by Naive-Bayes and Convolutional Neural Networks2018

    • Author(s)
      Xueyan Liu and Ryuya Uda
    • Journal Title

      Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication 掲載確定

      Volume: -

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Texting while Walking Deterrence System by Vibration of Smartphone2018

    • Author(s)
      Hiroya Kato and Ryuya Uda
    • Journal Title

      Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication 掲載確定

      Volume: -

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Password Security Enhancement Method by Flick Input with Considering the Floor Shake2015

    • Author(s)
      Nozomi Takeuchi and Ryuya Uda
    • Journal Title

      Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication

      Volume: 0 Pages: 0-0

    • DOI

      10.1145/2701126.2701176

    • Related Report
      2014 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] Improvement of Personal Identification by Flick Input with Acceleration Sensor2014

    • Author(s)
      Nozomi Takeuchi, Shuhei Kobata and Ryuya Uda
    • Journal Title

      Proceedings of IEEE the 38th International Computer Software and Applications Conference Workshops

      Volume: 0 Pages: 276-281

    • DOI

      10.1109/compsacw.2014.49

    • Related Report
      2014 Research-status Report
    • Peer Reviewed
  • [Journal Article] Password Security Enhancement by Characteristics of Flick Input with Double Stage C.V. Filtering2014

    • Author(s)
      Nozomi Takeuchi and Ryuya Uda
    • Journal Title

      Proceedings of World Congress on Sustainable Technologies

      Volume: 0 Pages: 58-65

    • DOI

      10.1109/wcst.2014.7030098

    • Related Report
      2014 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] Classification of Web Site by Naive-Bayes and Convolutional Neural Networks2018

    • Author(s)
      Xueyan Liu and Ryuya Uda
    • Organizer
      ACM
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Texting while Walking Deterrence System by Vibration of Smartphone2018

    • Author(s)
      Hiroya Kato and Ryuya Uda
    • Organizer
      ACM
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 共通鍵暗号とプログラムのハッシュ値によるファイルアクセス制御を用いた機密情報保護2017

    • Author(s)
      市川実,宇田隆哉
    • Organizer
      電子情報通信学会
    • Place of Presentation
      宮古島マリンターミナル(沖縄県,宮古島市)
    • Year and Date
      2017-03-06
    • Related Report
      2016 Research-status Report
  • [Presentation] Protection of Secrets by File Access Control with Common Key Cipher and Message Digests of Program Files2016

    • Author(s)
      M. Ichikawa and R. Uda
    • Organizer
      The 4th International Workshop on Collaborative Enterprise Systems
    • Place of Presentation
      Crans-Montana, Switzerland
    • Year and Date
      2016-03-23
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Personal Identification by Flick Input Using Self-Organizing Maps with Acceleration Sensor and Gyroscope2016

    • Author(s)
      T. Nohara and R. Uda
    • Organizer
      The 10th International Conference on Ubiquitous Information Management and Communication
    • Place of Presentation
      Danang, Vietnam
    • Year and Date
      2016-01-04
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Password Security Enhancement Method by Flick Input with Considering the Floor Shake2015

    • Author(s)
      Nozomi Takeuchi
    • Organizer
      ACM
    • Place of Presentation
      Bali, Indonesia
    • Year and Date
      2015-01-08 – 2015-01-10
    • Related Report
      2014 Research-status Report
  • [Presentation] Password Security Enhancement by Characteristics of Flick Input with Double Stage C.V. Filtering2014

    • Author(s)
      Nozomi Takeuchi
    • Organizer
      IEEE
    • Place of Presentation
      London, UK
    • Year and Date
      2014-12-08 – 2014-12-10
    • Related Report
      2014 Research-status Report
  • [Presentation] Improvement of Personal Identification by Flick Input with Acceleration Sensor2014

    • Author(s)
      Nozomi Takeuchi
    • Organizer
      IEEE
    • Place of Presentation
      Vasteras, Sweden
    • Year and Date
      2014-07-21 – 2014-07-25
    • Related Report
      2014 Research-status Report
  • [Patent(Industrial Property Rights)] フリック入力時の特徴を機械学習させて個人を識別する方法2016

    • Inventor(s)
      野原拓実,宇田隆哉
    • Industrial Property Rights Holder
      野原拓実,宇田隆哉
    • Industrial Property Rights Type
      特許
    • Industrial Property Number
      2016-141855
    • Filing Date
      2016-06-30
    • Related Report
      2016 Research-status Report

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Published: 2014-04-04   Modified: 2019-03-29  

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