Corpus ID: 145929492

Application of Keystroke Dynamics Modelling Techniques to Strengthen the User Identification in the Context of E-commerce

  title={Application of Keystroke Dynamics Modelling Techniques to Strengthen the User Identification in the Context of E-commerce},
  author={Germ{\'a}n M. Concilio and Enrique P. Calot and J. Ierache and H. Merlino},
Keystroke dynamics is a biometric technique to identify users based on analysing habitual rhythm patterns in their typing behaviour. In e-commerce, this technique brings benefits to both security and the analysis of patterns of consumer behaviour. This paper focuses on analysing the keystroke dynamics against an e-commerce site for personal identification. This paper is an empirical reinforcement of previous works, with data extracted from realistic conditions that are of most interest for the… Expand
1 Citations
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