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On the use of semantic technologies to model and control security, privacy and dependability in complex systems

Contributo in Atti di convegno
Data di Pubblicazione:
2011
Abstract:
In this paper a semantic approach is presented to model and control Security, Privacy and Dependability (SPD) in complex interconnected environment composed by heterogeneous Embedded Systems. Usually, only the individual properties are locally considered to obtain desired functionalities and this could result in sub-optimal solutions. With the use of modern semantic technologies (like OWL or reasoning engines) it is possible to model not only the individual parameters but also the relations between the different (and dynamically changing) parts of the systems, thus providing enriched knowledge and more useful information that could feed control algorithms. The model presented in this paper is based on the results obtained during the first phase of the pSHIELD project (conceived and lead by Finmeccanica) and it is focused on a concrete application coming from a critical scenario in railway environment: the monitoring of freight trains transporting hazardous material. ?????? 2011 Springer-Verlag.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
Common criteria, Concrete applications, Control security, Dependability, Feed control, Finmeccanica, Freight trains, Heterogeneous embedded system, Reasoning engine, Security, Semantic approach, Semantic technologies, Suboptimal solution; Algorithms, Computer control systems, Computer privacy, Data privacy, Embedded systems, Models, Ontology, Railroad transportation, Semantic Web, Semantics; Security of data
Elenco autori:
A., Fiaschetti; F., Lavorato; Suraci, Vincenzo; Palo, Andi; A., Taglialatela; A., Morgagni; R., Baldelli; F., Flammini
Autori di Ateneo:
SURACI VINCENZO
Link alla scheda completa:
https://iris.uniecampus.it/handle/11389/8971
Titolo del libro:
Lecture Notes in Computer Science
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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http://www.scopus.com/inward/record.url?eid=2-s2.0-80053017655&partnerID=40&md5=3de7d379d1afc16ac365f7393f5a13d7
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