Two-Factor Authentication Using Leap Motion and Numeric Keypad

Tomoki Manabe, Hayato Yamana

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

Abstract

Biometric authentication has become popular in modern society. It takes less time and effort for users when compared to conventional password authentication. Furthermore, biometric authentication was considered more secure than password authentication because it was more difficult to steal biometric information when compared to passwords. However, given the development of high-spec cameras and image recognition technology, the risk of the theft of biometric information, such as fingerprints, is increasing. Additionally, biometric authentication exhibits lower and less stable accuracy than that of password authentication. To solve the aforementioned issues, we propose two-factor authentication combining password-input and biometric authentication of the hand. We adopt Leap Motion to measure physical and behavioral features related to hands. Subsequently, a random forest classifier determines whether the hand features belongs to a genuine user. Our authentication system architecture completes the biometric authentication by using a limited amount of data obtained within a few seconds when a user enters a password. The advantage of the proposed method is that it prevents intrusion by biometric authentication even if a password is stolen. Our experimental results for 21 testers exhibit 94.98% authentication accuracy in a limited duration, 2.52 s on an average while inputting a password.

Original languageEnglish
Title of host publicationHCI for Cybersecurity, Privacy and Trust - 1st International Conference, HCI-CPT 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsAbbas Moallem
PublisherSpringer-Verlag
Pages38-51
Number of pages14
ISBN (Print)9783030223502
DOIs
Publication statusPublished - 2019 Jan 1
Event1st International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 2019 Jul 262019 Jul 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11594 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on HCI for Cybersecurity, Privacy and Trust, HCI-CPT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period19/7/2619/7/31

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Keywords

  • Behavioral biometrics
  • Hand-based authentication
  • Multi-factor authentication

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Manabe, T., & Yamana, H. (2019). Two-Factor Authentication Using Leap Motion and Numeric Keypad. In A. Moallem (Ed.), HCI for Cybersecurity, Privacy and Trust - 1st International Conference, HCI-CPT 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 38-51). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11594 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-22351-9_3