An ontology-based security framework for decision-making in industrial systems

Bruno A. Mozzaquatro, Raquel Melo, Carlos Agostinho, Ricardo Jardim-Goncalves

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

Embedded devices based on emerging technologies of the Internet of Things (IoT) are used to provide resources, business models and opportunities to build potential industrial systems improving manufacturing systems with efficient operations. In this context, IoT networks are dynamic environments and changes are also being increasingly frequent, modifying the environment execution. Nevertheless, severe threats will increase the complexity and difficulty to protect existing vulnerabilities in smart devices of IoT network. In this context, this work proposes an architecture of the ontology-based security framework to decision-making using adaptive security model to improve secure information for the industrial systems. IoTSec ontology contributes to feed the system using queries of contextual information collected in the environment. The main contribution of this approach is validated as an integration with C2NET project to ensure security properties in some critical scenarios.

Original languageEnglish
Title of host publicationMODELSWARD 2016 - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development
EditorsL. F. Pires, P. Desfray, S. Hammoudi, B. Selic
PublisherSciTePress
Pages779-788
Number of pages9
ISBN (Electronic)978-989758168-7
Publication statusPublished - 2016
Event4th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2016 - Rome, Italy
Duration: 19 Feb 201621 Feb 2016

Conference

Conference4th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2016
CountryItaly
CityRome
Period19/02/1621/02/16

Keywords

  • Adaptive Security
  • Decision-Making System
  • Information Security
  • Internet of Things
  • Ontology

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