The application of security adaptive framework for sensor in industrial systems

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Sensor networks is a solid basis for the Internet of Things (IoT) to provide resources, business models and opportunities to build potential industrial systems improving manufacturing systems with efficient operations. In this context, IoT devices and sensor networks have a dynamic behavior and changes often modifying the production environment. Nevertheless, severe threats are increasing the complexity and difficulty to protect existing vulnerabilities of IoT devices and sensor networks. However, this work analysis of the application of an ontology-based security framework to decision-making using adaptive security model to improve secure information for the industrial systems. A knowledge base (IoTSec ontology) contributes to feed the system with queries of contextual information collected in the environment. The main contribution is the identification of security issues in specific industrial scenarios of C2NET project to address potential security mechanisms and approaches to protect critical aspects of security framework to the C2NET platform.

Original languageEnglish
Title of host publicationSAS 2016 - Sensors Applications Symposium, Proceedings
Place of PublicationNew York, USA
PublisherIEEE
Pages160-165
Number of pages6
ISBN (Electronic)978-147997249-4
DOIs
Publication statusPublished - 26 May 2016
Event11th IEEE Sensors Applications Symposium, SAS 2016 - Catania, Italy
Duration: 20 Apr 201622 Apr 2016

Conference

Conference11th IEEE Sensors Applications Symposium, SAS 2016
CountryItaly
CityCatania
Period20/04/1622/04/16

Keywords

  • Internet of things

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  • Cite this

    Mozzaquatro, B. A., Jardim-Gonçalves, R., Melo, R., & Agostinho, C. (2016). The application of security adaptive framework for sensor in industrial systems. In SAS 2016 - Sensors Applications Symposium, Proceedings (pp. 160-165). [7479838] IEEE. https://doi.org/10.1109/SAS.2016.7479838