ADAPTIVE USER PROFILING-BASED CONTEXT-AWARE TRUST MODEL FOR DEPENDENT PEOPLE

Anas El Husseini (1, 2) , Abdallah M'Hamed (1) , Bachar El Hassan (2)

1 TSP - RST - Département Réseaux et Services de Télécommunications
2 LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]

In smart environments, pervasive computing contributes significantly in improving daily life activities for users by providing personalized services to dependent people. Nevertheless, those environments do not guarantee a satisfactory level for protecting the user privacy and ensuring the trust between communicating entities. Context-based security is an emerging approach to cope with the new security problems introduced by the high level of dynamicity and heterogeneity that characterize pervasive environments. Although the fact that pervasive environments rise the security challenges, they also bring new opportunities due to the ubiquitous technologies and ambient intelligence which provide valuable contextual information about the user and its environment: user's identity, interaction history with services, location, preferences, type of requested services, time/date of service request.

Mots clés: Smart environments; Trust model; Dependent people

Domaines: Réseaux et télécommunications [cs.NI]

Anas El Husseini, Abdallah M'Hamed, Bachar El Hassan. ADAPTIVE USER PROFILING-BASED CONTEXT-AWARE TRUST MODEL FOR DEPENDENT PEOPLE. ICSNA 2011, Oct 2011, Paris, France. ⟨hal-00840885⟩