Intelligent Agents for Preserving Resource Privacy when Deploying Ambient Intelligence Applications
Résumé
Privacy is a very important issue nowadays. While
many works deal with data privacy, in this paper, we focus on
preserving the privacy of the infrastructure resources on which
Ambient Intelligence (AmI) applications are deployed. We argue
for an Internet of Things (IoT) based on intelligent agent: IoT-
Agent. Our approach allows to preserve the privacy of data
related to the resources according to their owners’ desiderata.
Our solution is a middleware for the configuration, deploy-
ment and monitoring of distributed (AmI) applications in a
smart environment. This middleware takes into consideration the
heterogeneity and the dynamicity of such environment.
This paper presents our solution in terms of: (1) the graphs
we use to describe the available infrastructure resources and the
deployable application requirements, and graph homomorphisms
to model the deployment of applications; (2) a goal-directed
Multi-Agent System (MAS) which we show to be a well-adapted
paradigm that provides a clear separation between the applicative
and the infrastructure layers. The result is an increase in
resource privacy and the facilitation of the deployment of AmI
applications.