A Method for Determining the Credibility of Intrusion Detection based on a Probabilistic Graph Model in the Proactive Protection Subsystem of the Operational Cybersecurity Center

Andrey Ocheredko, Michael Putyato, Alexander Makaryan

2021

Abstract

The threat landscape is expanding rapidly, which has a number of consequences for most organizations and individuals. This is evidenced by a large number of cyber attacks which constantly occur in cyberspace. Although several defensive approaches have recently been proposed and implemented, the most of them are entirely theoretical. Others remain unfeasible due to the computational requirements of their implementation. The issue of computational complexity becomes extremely significant for methods which have proven to be implementable, because they often tend to consume a large amount of computational resources. Also most of these methods are reactive which means that they can only be initiated after an incident has already occurred. Moving from reactive approach to proactive one is currently one of the greatest challenges in the sphere of cybersecurity research.

Paper Citation

in Harvard Style

Ocheredko A., Putyato M. and Makaryan A. (2021). A Method for Determining the Credibility of Intrusion Detection based on a Probabilistic Graph Model in the Proactive Protection Subsystem of the Operational Cybersecurity Center. In Proceedings of the International Scientific and Practical Conference on Computer and Information Security - Volume 1: INFSEC, ISBN 978-989-758-531-9, pages 163-167. DOI: 10.5220/0010620400003170

in Bibtex Style

@conference{infsec21,
author={Andrey Ocheredko and Michael Putyato and Alexander Makaryan},
title={A Method for Determining the Credibility of Intrusion Detection based on a Probabilistic Graph Model in the Proactive Protection Subsystem of the Operational Cybersecurity Center},
booktitle={Proceedings of the International Scientific and Practical Conference on Computer and Information Security - Volume 1: INFSEC,},
year={2021},
pages={163-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010620400003170},
isbn={978-989-758-531-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Scientific and Practical Conference on Computer and Information Security - Volume 1: INFSEC,
TI - A Method for Determining the Credibility of Intrusion Detection based on a Probabilistic Graph Model in the Proactive Protection Subsystem of the Operational Cybersecurity Center
SN - 978-989-758-531-9
AU - Ocheredko A.
AU - Putyato M.
AU - Makaryan A.
PY - 2021
SP - 163
EP - 167
DO - 10.5220/0010620400003170