Biometric Swiping on Touchscreens

Abstract : Touchscreen devices have become very popular in the last decade and eased our modern life. It is now possible to automatically log in to any web page connected to our touchscreen phones, such as social networks, e-commerce sites and even mobile banking. Given these facts, the emerging touchscreen technology brings out a potential security issue: weakness of authentication protocols. Therefore, we put forward a biometric enhancement on “swiping” authentication, which is one of the options to log in a touchscreen phone however with the lowest security. We created a ghost password by extracting the features of coordinates and swipe durations to use them as the inputs of the Levenberg-Marquardt based neural network and adaptive neuro-fuzzy classifiers which both discriminate real attempts from fraud attacks after training.
Type de document :
Communication dans un congrès
Khalid Saeed; Władysław Homenda. 14th Computer Information Systems and Industrial Management (CISIM), Sep 2015, Warsaw, Poland. Springer, Lecture Notes in Computer Science, LNCS-9339, pp.193-203, 2015, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-24369-6_16〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01444465
Contributeur : Hal Ifip <>
Soumis le : mardi 24 janvier 2017 - 10:40:23
Dernière modification le : mercredi 25 janvier 2017 - 01:04:04
Document(s) archivé(s) le : mardi 25 avril 2017 - 14:13:14

Fichier

978-3-319-24369-6_16_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Orcan Alpar, Ondrej Krejcar. Biometric Swiping on Touchscreens. Khalid Saeed; Władysław Homenda. 14th Computer Information Systems and Industrial Management (CISIM), Sep 2015, Warsaw, Poland. Springer, Lecture Notes in Computer Science, LNCS-9339, pp.193-203, 2015, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-24369-6_16〉. 〈hal-01444465〉

Partager

Métriques

Consultations de la notice

35

Téléchargements de fichiers

29