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CASA‐IoT: Scalable and context‐aware IoT access control supporting multiple users
Author(s) -
Castro Tiago O.,
Caitité Vitor G. R.,
Macedo Daniel F.,
Santos Aldri L.
Publication year - 2019
Publication title -
international journal of network management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.373
H-Index - 28
eISSN - 1099-1190
pISSN - 1055-7148
DOI - 10.1002/nem.2084
Subject(s) - computer science , scalability , testbed , access control , internet of things , context (archaeology) , distributed computing , delegation , architecture , computer network , computer security , database , paleontology , political science , law , visual arts , biology , art
Summary The Internet of Things (IoT) supports many users and context‐aware applications controlling heterogeneous IoT devices. This differs from traditional networks, in which a single entity manages each device. Thus, new access control models must be created in order to support more responsive, scalable, secure, and autonomous management. This article presents an attribute‐based access control model, which applies conflict resolution and access delegation in a multiuser and multiapplication environment. With scalability in mind, we propose the caching of access permissions, as well as a split policy processing model in which the devices with enough computational power perform part of the processing. The proposed model was implemented as part of the ManIoT architecture an d evaluated in experiments on a testbed to demonstrate its efficiency. Results show that our model accelerates the processing of access management policies from 51% by up to 79%.