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Secure and privacy preserving data processing support for active authentication

Author

Listed:
  • Yan Sun

    (State University of New York at Buffalo)

  • Shambhu Upadhyaya

    (State University of New York at Buffalo)

Abstract

Keystroke dynamics and mouse movements are effective behavioral biometric modalities for active authentication. However, very little is done on the privacy of collection and transmission of keyboard and mouse data. In this paper, we develop a rule based data sanitization scheme to detect and remove personally identifiable and other sensitive information from the collected data set. Preliminary experiments show that our scheme incurs on average 5.69 % false negative error rate and 0.64 % false positive error rate. We also develop a data transmission scheme using the Extensible Messaging and Presence Protocol (XMPP) to guarantee privacy during transmission. Using these two schemes as a basis, we develop two distinct architectures for providing secure and privacy preserving data processing support for active authentication. These architectures provide flexibility of use depending upon the application environment.

Suggested Citation

  • Yan Sun & Shambhu Upadhyaya, 2015. "Secure and privacy preserving data processing support for active authentication," Information Systems Frontiers, Springer, vol. 17(5), pages 1007-1015, October.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:5:d:10.1007_s10796-015-9587-9
    DOI: 10.1007/s10796-015-9587-9
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    Citations

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    Cited by:

    1. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 2018. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 20(1), pages 91-110, February.
    2. Chittaranjan Hota & Shambhu Upadhyaya & Jamal Nazzal Al-Karaki, 2015. "Advances in secure knowledge management in the big data era," Information Systems Frontiers, Springer, vol. 17(5), pages 983-986, October.
    3. Nicholas Martin & Christian Matt & Crispin Niebel & Knut Blind, 2019. "How Data Protection Regulation Affects Startup Innovation," Information Systems Frontiers, Springer, vol. 21(6), pages 1307-1324, December.
    4. Tung-Hsien Wu & Shi-Ming Huang & Shaio Yan Huang & David C. Yen, 0. "The effect of competencies, team problem-solving ability, and computer audit activity on internal audit performance," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    5. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 0. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    6. Tung-Hsien Wu & Shi-Ming Huang & Shaio Yan Huang & David C. Yen, 2017. "The effect of competencies, team problem-solving ability, and computer audit activity on internal audit performance," Information Systems Frontiers, Springer, vol. 19(5), pages 1133-1148, October.
    7. Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2023. "Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health specialists," Technovation, Elsevier, vol. 121(C).

    More about this item

    Keywords

    Privacy; Security; Sanitization; XMPP;
    All these keywords.

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