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Biometric Detection Using Stroke Dynamics

  • Abhishek Das
  • Saumendra Kumar Mohapatra
  • Laxmi Prasad Mishra
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 109)

Abstract

The process of preventing unauthorized use of computers is called computer security. A convenient user authentication device is more essential than ever before. The major intend of this paper is to provide a suitable and reliable authentication method using keystroke and mouse dynamics combined with face recognition. Using user-id and password is considered as the most basic type of authentication. An unauthorized person can access a genuine user’s resources by exploiting an unreached unlocked computer or possibly by stealing the password of user. Without continuous authentication it is not possible to say who the real person is. So the paper is to provide a combination of static and continuous authentication. This is a biometric system to avoid impersonation and is a hybrid security system. Typing pattern in the keyboard of a user is combined with mouse interaction behavior to perform continuous analysis of a user and extracting the face features to perform static authentication. Dataset was collected and analysis was done continuously and transparently during the whole session. The keyboard, mouse interaction behaviors, and face features are unique to each individual. The method provides a probable solution to authenticate rightful users statistically and endlessly.

Keywords

Face recognition PCA Singular value decomposition (SVD) (Linear discriminant analysis (LDA) Eigenface Session hijacking 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Abhishek Das
    • 1
  • Saumendra Kumar Mohapatra
    • 1
  • Laxmi Prasad Mishra
    • 1
  1. 1.ITER, Siksha ‘O’ Anusandhan (Deemed to be University)BhubaneswarIndia

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