Abstract
The research aims to determinate cyber-attack goals in the information systems of various types for the further selection of the optimal countermeasures. We propose an approach based on the ontology of security metrics to achieve the research goal. The developed ontology provides the features for the determination of attack goals using neuro-fuzzy network. The paper describes the proposed ontology combining security components, classes of security metrics, various data sources, and relations between them. The concept of using the security metrics as features for training neuro-fuzzy network is given. Application of the approach is shown on the case study.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
