Toward the Ontology-Based Security Verification and Validation Model for the Vehicular Domain
Abstract
Security verification and validation is an essential part of the development phase in current and future vehicles. It is essential to ensure that a sufficient level of security is achieved. This process determines whether or not all security issues are covered and confirms that security requirements and implemented measures meet the security needs. This work proposes a novel ontology-based security verification and validation model in the vehicular area. Ontologies allow creating a comprehensive view of threats and security requirements. The proposed model performs a series of queries and inference rules to the comprehensive view to ensure the compliance of vehicle components with security requirements.
Top- Shaaban Magdy, Abdelkader
- Schmittner, Christoph
- Quirchmayr, Gerald
- Mohamed, A. Baith
- Gruber, Thomas
- Schikuta, Erich
Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
26th International Conference on Neural Information Processing, ICONIP 2019 |
Divisions |
Multimedia Information Systems Workflow Systems and Technology |
Subjects |
Computersicherheit Kuenstliche Intelligenz |
Event Location |
Sydney, NSW, Australi |
Event Type |
Conference |
Event Dates |
December 12–15, 2019 |
ISSN/ISBN |
978-3-030-36807-4 |
Publisher |
Springer International Publishing |
Page Range |
pp. 521-529 |
Date |
5 December 2019 |
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