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

• 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Keyword

Common Criteria

Dependability

Model

Ontology

Privacy

Security

Concrete applications

Control security

Feed control

Finmeccanica

Freight trains

Heterogeneous embedded system

Reasoning engine

Semantic approach

Semantic technologies

Suboptimal solution

Algorithms

Computer control systems

Computer privacy

Data privacy

Embedded systems

Models

Railroad transportation

Semantic Web

Semantics

Security of data

Data- och informationsvetenskap

Computer and Information Sciences Computer Science

Publication and Content Type

ref (subject category)

kon (subject category)