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Continuous Authentication of Tablet Users Using Raw Swipe Characteristics: Tree Based Approaches

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Intelligent Systems Design and Applications (ISDA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 715))

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Abstract

In terms of portability and convenience of usage, tablets are user-friendly devices next to smartphones. Operated through their relatively bigger sized touchscreens with respect to smartphones, these devices have found applications in the education sector, conducting surveys, biological and medical areas and as security control devices, to include a few. Albeit being convenient, the security of these devices can be easily compromised despite being equipped with some primary authentication mechanism. This paper explores secondary security measures that can complement the primary authentication mechanism using unprocessed swiping activity data from the user. Keeping in view the fact that research works conducted in this domain being few in numbers, this paper proposes a framework for continuously authenticating a tablet’s user. Implemented on a contemporary dataset that include both smartphone and tablet swipe vectors this tree based framework exhibited acceptable authentication performance compared to other such works. This was achieved without requiring the data to be preprocessed or scaled and based on single user swipes.

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Authors and Affiliations

  1. Department of Computer Science, St. Joseph University, Dimapur, Nagaland, India

    Rupanka Bhuyan & S. Pradeep Kumar Kenny

  2. ICFAI University Nagaland, Chumoukedima, Nagaland, India

    Rupanka Bhuyan

Authors
  1. Rupanka Bhuyan
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  2. S. Pradeep Kumar Kenny
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Corresponding author

Correspondence to Rupanka Bhuyan .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Data Science, FLAME University, Pune, Maharashtra, India

    Ajith Abraham

  2. Center for Smart Computing Continuum, Burgenland, Austria

    Sabri Pllana

  3. University of Bari, Bari, Italy

    Gabriella Casalino

  4. University of Jinan, Jinan, Shandong, China

    Kun Ma

  5. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Anu Bajaj

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Bhuyan, R., Kenny, S.P.K. (2023). Continuous Authentication of Tablet Users Using Raw Swipe Characteristics: Tree Based Approaches. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-031-35507-3_29

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