Design and analysis of shoulder surfing resistant PIN based authentication mechanisms on google glass

Dhruv Kumar Yadav, Beatrice Ionascu, Sai Vamsi Krishna Ongole, Aditi Roy, Nasir Memon

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

    Abstract

    This paper explores options to the built-in authentication mechanism of the Google Glass which is vulnerable to shoulder surfing attacks. Two simple PIN-based authentication techniques are presented, both of which provide protection against shoulder surfing. The techniques employ two interfaces for entering the PIN, namely, voice (Voice-based PIN) and touchpad (Touch-based PIN). To enter the same PIN, user has the freedom to choose either technique and thereby interface, as per the environment in which authentication is being performed. A user study was conducted with 30 participants to compare the performance of the proposed methods with the built-in technique. The results show that the proposed mechanisms have a significantly better login success rate than the built-in technique. Interestingly, although the average authentication times of the proposed methods are higher than that of the built-in one, the users perceived them as being faster. The results also indicate that the proposed methods have better perceived security and usability than the built-in method. The study reveals that when it comes to authentication on augmented reality devices, there is a need for authentication mechanisms that complement each other as users tend to prefer a different interface in different contexts.

    Original languageEnglish (US)
    Title of host publicationFinancial Cryptography and Data Security - FC 2015 International Workshops BITCOIN, WAHC, and Wearable, Revised Selected Papers
    PublisherSpringer Verlag
    Pages281-297
    Number of pages17
    Volume8976
    ISBN (Print)9783662480502, 9783662480502
    DOIs
    StatePublished - 2015
    EventInternational Conference on Financial Cryptography and Data Security, FC 2015 2nd Workshop on Bitcoin Research BITCOIN 2015, 3rd Workshop on Encrypted Computing and Applied Homomorphic Cryptography, WAHC 2015, and 1st Workshop on Wearable Security and Privacy, Wearable 2015 - San Juan, Puerto Rico
    Duration: Jan 30 2015Jan 30 2015

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8976
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    OtherInternational Conference on Financial Cryptography and Data Security, FC 2015 2nd Workshop on Bitcoin Research BITCOIN 2015, 3rd Workshop on Encrypted Computing and Applied Homomorphic Cryptography, WAHC 2015, and 1st Workshop on Wearable Security and Privacy, Wearable 2015
    CountryPuerto Rico
    CitySan Juan
    Period1/30/151/30/15

    Fingerprint

    Authentication
    Glass
    Augmented reality
    Augmented Reality
    User Studies
    Usability
    Design
    Complement
    Choose
    Attack
    Tend
    Voice

    Keywords

    • Authentication
    • Google Glass
    • PIN
    • Security
    • Usability

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Yadav, D. K., Ionascu, B., Ongole, S. V. K., Roy, A., & Memon, N. (2015). Design and analysis of shoulder surfing resistant PIN based authentication mechanisms on google glass. In Financial Cryptography and Data Security - FC 2015 International Workshops BITCOIN, WAHC, and Wearable, Revised Selected Papers (Vol. 8976, pp. 281-297). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8976). Springer Verlag. https://doi.org/10.1007/978-3-662-48051-9_21

    Design and analysis of shoulder surfing resistant PIN based authentication mechanisms on google glass. / Yadav, Dhruv Kumar; Ionascu, Beatrice; Ongole, Sai Vamsi Krishna; Roy, Aditi; Memon, Nasir.

    Financial Cryptography and Data Security - FC 2015 International Workshops BITCOIN, WAHC, and Wearable, Revised Selected Papers. Vol. 8976 Springer Verlag, 2015. p. 281-297 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8976).

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

    Yadav, DK, Ionascu, B, Ongole, SVK, Roy, A & Memon, N 2015, Design and analysis of shoulder surfing resistant PIN based authentication mechanisms on google glass. in Financial Cryptography and Data Security - FC 2015 International Workshops BITCOIN, WAHC, and Wearable, Revised Selected Papers. vol. 8976, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8976, Springer Verlag, pp. 281-297, International Conference on Financial Cryptography and Data Security, FC 2015 2nd Workshop on Bitcoin Research BITCOIN 2015, 3rd Workshop on Encrypted Computing and Applied Homomorphic Cryptography, WAHC 2015, and 1st Workshop on Wearable Security and Privacy, Wearable 2015, San Juan, Puerto Rico, 1/30/15. https://doi.org/10.1007/978-3-662-48051-9_21
    Yadav DK, Ionascu B, Ongole SVK, Roy A, Memon N. Design and analysis of shoulder surfing resistant PIN based authentication mechanisms on google glass. In Financial Cryptography and Data Security - FC 2015 International Workshops BITCOIN, WAHC, and Wearable, Revised Selected Papers. Vol. 8976. Springer Verlag. 2015. p. 281-297. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-662-48051-9_21
    Yadav, Dhruv Kumar ; Ionascu, Beatrice ; Ongole, Sai Vamsi Krishna ; Roy, Aditi ; Memon, Nasir. / Design and analysis of shoulder surfing resistant PIN based authentication mechanisms on google glass. Financial Cryptography and Data Security - FC 2015 International Workshops BITCOIN, WAHC, and Wearable, Revised Selected Papers. Vol. 8976 Springer Verlag, 2015. pp. 281-297 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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