Title
Pattern-Driven Security, Privacy, Dependability and Interoperability Management of IoT Environments
Abstract
Achieving Security, Privacy, Dependability and Interoperability (SPDI) is of paramount importance for the ubiquitous deployment and impact maximization of Internet of Things (IoT) applications. Nevertheless, said requirements are not only difficult to achieve at system initialization, but also hard to prove and maintain at run-time. This paper highlights an approach to tackling the above challenges, through the definition of pattern language and a framework that can guarantee SPDI in IoT orchestrations. By integrating pattern reasoning engines at the various layers of the IoT infrastructure, and a machine-processable representation of said pattern through Drools rules, the proposed framework can provide ways to fulfill SPDI requirements at design time, and also provide the means to guarantee those SPDI properties and manage the orchestrations accordingly. Moreover, an application example of the framework is presented in an Industrial IoT monitoring environment.
Year
DOI
Venue
2019
10.1109/CAMAD.2019.8858429
2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
Keywords
Field
DocType
Pattern-driven engineering,Internet of Things,Security,Privacy,Dependability,Interoperability
Dependability,Software deployment,Software engineering,Computer science,Interoperability,Internet of Things,Computer network,Pattern language,Initialization,Maximization
Conference
ISSN
ISBN
Citations 
2378-4865
978-1-7281-1017-2
0
PageRank 
References 
Authors
0.34
6
7