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Developing an Ontology for Cyber Security Knowledge Graphs

Conference ·
In this paper we describe an ontology developed for a cyber security knowledge graph database. This is intended to provide an organized schema that incorporates information from a large variety of structured and unstructured data sources, and includes all relevant concepts within the domain. We compare the resulting ontology with previous efforts, discuss its strengths and limitations, and describe areas for future work.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1424501
Country of Publication:
United States
Language:
English

References (11)

Extracting Cybersecurity Related Linked Data from Text conference September 2013
Taxonomies of attacks and vulnerabilities in computer systems journal January 2008
A Knowledge-Based Approach to Intrusion Detection Modeling conference May 2012
Towards a Relation Extraction Framework for Cyber-Security Concepts conference April 2015
A Systematic Review and Comparison of Security Ontologies conference March 2008
Extracting Information about Security Vulnerabilities from Web Text conference August 2011
A taxonomy of computer program security flaws journal September 1994
Modeling Computer Attacks: An Ontology for Intrusion Detection book January 2003
A software flaw taxonomy journal May 2005
PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-security Concepts conference December 2013
A taxonomy of network and computer attacks journal February 2005

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