Publication: An Ontology for SNORT Rule
Issued Date
2019-07-01
Resource Type
Other identifier(s)
2-s2.0-85074240878
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
JCSSE 2019 - 16th International Joint Conference on Computer Science and Software Engineering: Knowledge Evolution Towards Singularity of Man-Machine Intelligence. (2019), 49-55
Suggested Citation
Assadarat Khurat, Wudhichart Sawangphol An Ontology for SNORT Rule. JCSSE 2019 - 16th International Joint Conference on Computer Science and Software Engineering: Knowledge Evolution Towards Singularity of Man-Machine Intelligence. (2019), 49-55. doi:10.1109/JCSSE.2019.8864190 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/50623
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
An Ontology for SNORT Rule
Author(s)
Other Contributor(s)
Abstract
© 2019 IEEE. Intrusion Detection System (IDS) is an important component to provide security for an organization. Its main function is to detect harmful traffic. The detection is done based on rules. SNORT is a widely used open-source IDS system. To have efficient detection, SNORT rule specification allows very expressive way to create a rule. This is not a trivial task especially for self-defined rule. Due to this complexity and huge amount of rules, there can be problems about both syntax and semantics which in turn effects on the IDS system performance. We thus propose an ontology for SNORT rules which is designed to support SNORT rule verification using OWL ontology.