Paper Info
Title
OSCIDS: An Ontology based SCADA Intrusion Detection Framework.
Abstract
This paper presents the design, development, and validation of an ontology based SCADA intrusion detection system. The proposed system analyses SCADA network communications and can derive additional information based on the background knowledge and ontology models to enhance the intrusion detection data. The developed intrusion model captures network communications, cyber attacks and the context within the SCADA domain. Moreover, a set of semantic rules were constructed to detect various attacks and extract logical relationships among these attacks. The presented framework was extensively evaluated and a comparison to the state of the art is provided.
Year
DOI
Venue
2016
10.5220/0005969803270335
SECRYPT
Keywords
Field
DocType
Semantic Web,Intrusion Detection,Knowledge Engineering,SCADA,Modbus TCP,Security Ontology
Data mining,Ontology,Host-based intrusion detection system,Computer security,Computer science,Semantic Web,Industrial control system,Knowledge engineering,SCADA,Intrusion detection system,Semantics
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Abdullah Al Balushi100.68
Kieran McLaughlin220822.19
Sakir Sezer3101084.22