Reachability Matrix Ontology: A Cybersecurity Ontology. Issue 7 (7th June 2019)
- Record Type:
- Journal Article
- Title:
- Reachability Matrix Ontology: A Cybersecurity Ontology. Issue 7 (7th June 2019)
- Main Title:
- Reachability Matrix Ontology: A Cybersecurity Ontology
- Authors:
- Scarpato, Noemi
Cilia, Nicole Dalia
Romano, Marco - Abstract:
- ABSTRACT: In this paper, we describe the Reachability Matrix Ontology (RMO). RMO aims to describe the networks and the cybersecurity domain in order to compute the reachability information (reachability matrix). Reachability Matrix determines if a node can reach another node (via ISO/OSI layers protocol). To achieve this objective RMO describes the network's elements, the network connectivity information, and the access control policies. RMO also provides some SWRL rules able to calculate the Reachability Matrix. Besides RMO and SWRL rules, there are also a set of SPARQL queries to refine the computation of the Reachability Matrix. To the best of our knowledge, RMO represents an innovative approach to the computation of the reachability matrix. Following we will describe our approach based on a strategy that exploits a combination of OWL, description logic rules and SPARQL queries.
- Is Part Of:
- Applied artificial intelligence. Volume 33:Issue 7(2019)
- Journal:
- Applied artificial intelligence
- Issue:
- Volume 33:Issue 7(2019)
- Issue Display:
- Volume 33, Issue 7 (2019)
- Year:
- 2019
- Volume:
- 33
- Issue:
- 7
- Issue Sort Value:
- 2019-0033-0007-0000
- Page Start:
- 643
- Page End:
- 655
- Publication Date:
- 2019-06-07
- Subjects:
- Artificial intelligence -- Periodicals
006.3 - Journal URLs:
- http://www.tandfonline.com/toc/uaai20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/08839514.2019.1592344 ↗
- Languages:
- English
- ISSNs:
- 0883-9514
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1571.650000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10093.xml