Paper Info
Title
Access Control Model for Ambient Intelligent Services in Cloud Computing
Abstract
Ambient intelligent services often need to be executed at computing devices whose computational resources are limited. To solve this problem, such services intensive tasks should be offloaded to cloud computing. However, there is a gap between access control models in ambient intelligent services and cloud computing, where the former tends to be context-dependent and the latter to be subject-based, e.g., role-based access control (RBAC). This paper proposes an approach for managing context-aware services executed at ambient intelligent environments and cloud computing. The approach is constructed based on a model for specifying contexts in the real world. It is also used as a context-centric access control model to bridge between an access control model in ambient intelligent services and one in commercial cloud computing platform. This paper presents the basic notion of the model and its prototype implementation.
Year
DOI
Venue
2016
10.1109/SmartCloud.2016.47
2016 IEEE International Conference on Smart Cloud (SmartCloud)
Keywords
Field
DocType
Context-aware application,Access control model,pervasive computing,cloud computing
Context-aware services,Services computing,World Wide Web,Computer science,Ambient intelligence,Role-based access control,Context model,Utility computing,Access control,Distributed computing,Cloud computing
Conference
Volume
ISBN
Citations 
2016
978-1-5090-5264-6
0
PageRank 
References 
Authors
0.34
10
1
Name
Order
Citations
PageRank
Ichiro Satoh188296.32