Enhancing the Creation of Detection Rules for Malicious Software through Ontologies and Crowdsourcing.
Antonio Carlos de MarchiAndré Ricardo Abed GrégioRodrigo BonacinPublished in: WETICE (2017)
Keyphrases
- detection algorithm
- computer systems
- detection rate
- owl ontologies
- software systems
- semantic web
- detection method
- false positives
- object detection
- association rules
- false alarms
- software architecture
- anomaly detection
- software development
- source code
- ontology mapping
- design patterns
- domain specific
- semantic relationships
- anti virus
- ontology matching
- semantic technologies
- automatic detection
- rule sets
- classification rules
- background knowledge
- association rule mining