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Proposing Model for Recognizing User Position

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First International Conference on Sustainable Technologies for Computational Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1045))

Abstract

In the progressive world of Internet, online banking or any other transaction is not secure because of methods such as brute force technique, dictionary attacks, and spoofing. It is because traditional methods of authentication require either password or pin which is not secure because it can be cracked easily using the methods mentioned above. Therefore, biometric authentication can be a viable option which can be used for identification of a genuine user. In this paper, we propose a model for identifying the user’s position that plays a vital role in identifying the genuinity of any user. This paper revolves around the effects on verification of genuine user if the data collected from user is done in both controlled and uncontrolled environment.

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Author information

Authors and Affiliations

  1. Lovely Professional University, Delhi G.T. Road, Jalandhar, 144411, Punjab, India

    Biky Bikas Tirkey & Baljit Singh Saini

Authors
  1. Biky Bikas Tirkey
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  2. Baljit Singh Saini
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Corresponding author

Correspondence to Biky Bikas Tirkey .

Editor information

Editors and Affiliations

  1. Department of Electrical and Communication Engineering, The Papua New Guinea University of Technology, Lae, Papua New Guinea

    Ashish Kumar Luhach

  2. Neumann János University, Kecskemét, Bács-Kiskun, Hungary

    Janos Arpad Kosa

  3. Amity University, Jaipur, Rajasthan, India

    Ramesh Chandra Poonia

  4. School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  5. Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

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Tirkey, B.B., Saini, B.S. (2020). Proposing Model for Recognizing User Position. In: Luhach, A., Kosa, J., Poonia, R., Gao, XZ., Singh, D. (eds) First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-15-0029-9_12

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