A Novel Identification/Verification Model Using Smartphone's Sensors and User Behavior

Ghina Dandachi (1) , Bachar El Hassan (1) , Anas El Husseini (1, 2, 3, 4)

1 LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]
2 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
3 TSP - RST - Département Réseaux et Services de Télécommunications
4 CNRS - Centre National de la Recherche Scientifique

Smartphones are increasingly entering people's life; every person in the house carry one or two smartphones (Android, iPhone, Tab...). They use explicit authentication, which is inefficient; once the smartphone is stolen, a thief can steal personal information stored on the phone and can access all services that might have the password stored. In addition, elderly and physically impaired users need to have their medical profile secured and easily accessed without password limitation. For this reason, smartphone sensors are good candidates for providing an implicit authentication. This work introduces a new perspective of context-based user authentication: users can be authenticated implicitly using data captured by sensors of the smartphone and user behavior; these data are used in the creation of a unique profile for each user. The proposed model is supposed to be as secure as traditional authentication methods.

Mots clés: implicit authentication; smartphone; sensors; context; physical impairement; elderly; user behavior

Domaines: Réseaux et télécommunications [cs.NI]

Ghina Dandachi, Bachar El Hassan, Anas El Husseini. A Novel Identification/Verification Model Using Smartphone's Sensors and User Behavior. The 2nd International Conference on Advances in Biomedical Engineering, Sep 2013, Tripoli, Lebanon. pp.n/a. ⟨hal-00860898⟩