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Authentication Using Typing Pattern

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Smart Data Intelligence

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Passwords are an antique authentication methodology. With the recent hacks and leaks, keeping credentials secure is proving to be more difficult day by day. An answer to the present drawback is to feature different factors to authentication. The foremost non-invasive of that is writing patterns. This is often referred to as Keystroke Dynamics. It is the careful temporal order information that describes precisely once every key was pressed and once it absolutely was discharged as someone is typing using a keyboard. Keystroke Dynamics uses the behavioral aspect of the way and rhythm during which different types of characters are pressed on a keyboard. The rhythms of the keystrokes of a user are measured, and a novel biometric template is developed of the user’s writing pattern for any future purpose of authentication. This paper aims to make a customizable and protractile keystroke dynamics authentication system and a dashboard that is standard and simple to use in conjunction with existing authentication systems. The investigations reveal that using typing pattern for 2 factor authentication has clocked a 50% faster rate of signing in than conventional results. The average response time of an authentication request on our system is ~100–120 ms which is a very good time for any two factor authentication system.

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Author information

Authors and Affiliations

  1. National Institute of Technology Delhi, New Delhi, 110040, India

    Shaurya Anand & Manisha Bharti

Authors
  1. Shaurya Anand
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  2. Manisha Bharti
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Corresponding author

Correspondence to Shaurya Anand .

Editor information

Editors and Affiliations

  1. Kongunadu College of Engineering and Technology, Tholurpatti, India

    R. Asokan

  2. School of Information Technology and Telecommunications Engineering, University of Granada, Granada, Spain

    Diego P. Ruiz

  3. Deakin University, Waurn Ponds, VIC, Australia

    Zubair A. Baig

  4. Information Systems and Operations Management (ISOM), University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Anand, S., Bharti, M. (2022). Authentication Using Typing Pattern. In: Asokan, R., Ruiz, D.P., Baig, Z.A., Piramuthu, S. (eds) Smart Data Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3311-0_18

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