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Password Recovery Mechanism Based on Keystroke Dynamics

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 339))

Abstract

Automated password recovery process includes needing the user to response a “secret question” defined as part of the user registration process. The second mechanism in use is having the user offer a “hints” during record-keeping that helps the user remember his password. Here, system may be compromise through the use of brute-force attacks, inherent system weakness or easily guessed secret questions and answers. The third mechanism is One Time Password (OTP), where personal phone or alternative user ID is needed. The fourth mechanism is our proposed, password recovery mechanism based on behavioral biometric characteristics, keystroke dynamics data. Here, users are not only identified by their secret questions answers or hints, but their typing style is also accounted for. It improves the security rank and can be used to identify the real user. In this paper, we have also suggested some future plans that also can be effectively implemented by this technique.

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Acknowledgments

Authors acknowledge Mr. Champak Chakraborty, Department of Physics, Bagnan College and Mr. Sourjya Roy, Department of English, Bagnan College for reading the manuscript carefully.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Calcutta, 92 APC Road, Calcutta, 700009, India

    Soumen Roy & D. D. Sinha

  2. Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, 731235, India

    Utpal Roy

Authors
  1. Soumen Roy
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  2. Utpal Roy
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  3. D. D. Sinha
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Corresponding author

Correspondence to Soumen Roy .

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Editors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science & Engineering, University of Kalyani, Kalyani, India

    Anirban Mukhopadhyay

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Roy, S., Roy, U., Sinha, D.D. (2015). Password Recovery Mechanism Based on Keystroke Dynamics. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_24

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  • DOI: https://doi.org/10.1007/978-81-322-2250-7_24

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2249-1

  • Online ISBN: 978-81-322-2250-7

  • eBook Packages: EngineeringEngineering (R0)

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