Title
CARS-AD: a context-aware recommender system to decide about implicit or explicit authentication in ubihealth
Abstract
Mobile devices using traditional authentication processes are vulnerable and inadequate. New approaches must be considered for solving this problem: environmental characteristics, device limitations and information obtained from sensors. This paper presents a recommendation system approach for information systems based on user behavior and information context in which the users are located. The recommendation system has been defined and deployed through filtering processes (content-based, collaborative and hybrid). The behavior is defined by the events and the actions that comprise the user activities. The experimental results indicate: (i) a more dynamic and autonomic mechanism for authenticating users in a pervasive mobile environment, and (ii) an efficiency improvement in detecting anomalies on authentication by using a similarity model and space-time permutation.
Year
DOI
Venue
2011
10.1145/2069131.2069146
MOBIWAC
Keywords
Field
DocType
recommendation system approach,traditional authentication process,authenticating user,information system,recommendation system,context-aware recommender system,mobile device,user behavior,user activity,information context,explicit authentication,pervasive mobile environment,space time,behavior modeling,authentication,recommender system,behavioral model
Recommender system,Information system,Authentication,Computer science,Spatio-Temporal Analysis,Behavioral modeling,Permutation,Computer network,Filter (signal processing),Mobile device
Conference
ISSN
Citations 
PageRank 
1947-8151
1
0.36
References 
Authors
14
5
Name
Order
Citations
PageRank
João Carlos D. Lima166.59
C. C. Rocha294.30
Matheus A. Vieira360.95
Iara Augustin410015.39
Mario A. R. Dantas56925.60