Corpus ID: 145929492

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

@inproceedings{Concilio2018ApplicationOK,
  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},
  year={2018}
}
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
Líneas de investigación del laboratorio de sistemas de información avanzados: dinámica de tecleo, computación afectiva, extracción de relaciones semánticas, blockchain & smart contracts
El Laboratorio de Sistemas de Información Avanzados (LSIA) de la Facultad de Ingeniería de la Universidad de Buenos Aires (UBA) cuenta con distintas líneas de investigación: Dinámica de Tecleo,Expand

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