Authors:
Alvaro Armenteros
1
;
Antonio Muñoz
2
;
Antonio Maña
2
and
Daniel Serrano
2
Affiliations:
1
Telefónica I+D, Spain
;
2
University of Malaga, Spain
Keyword(s):
Security patterns, Security services, Ambient Intelligence.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Formal Methods
;
Information Engineering Methodologies
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Modeling Concepts and Information Integration Tools
;
Modeling Formalisms, Languages and Notations
;
Modeling of Distributed Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Operational Research
;
Requirements Analysis And Management
;
Security
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software Engineering
;
Symbolic Systems
;
Systems Engineering
;
Telecommunications
;
Wireless and Mobile Computing
;
Wireless and Mobile Technologies
;
Wireless Information Networks and Systems
Abstract:
Ambient Intelligence (AmI) refers to an environment that is sensitive, responsive, interconnected, contextualized, transparent, intelligent, and acting on behalf of humans. Security, privacy, and trust challenges are amplified with AmI computing model and need to be handled. Along this paper the potential of SERENITY in Ambient Intelligence (AmI) Ecosystems is described. Main objective of SERENITY consists on providing a framework for the automated treatment of security and dependability issues in AmI scenarios. Besides, a proof of concept is provided. In this paper, we describe the implementation of a prototype based on the application of the SERENITY model (including processes, artefacts and tools) to an industrial AmI scenario. A complete description of this prototype, along with all S&D artefacts used is provided in following sections.