An Approach to Identifying the Process of Implementing a Distributed Denial of Service Attack based on a Probable Graph Model
Dmitriy Bachmanov, Michael Putyato, Alexander Makaryan
2021
Abstract
Distributed Denial-of-service (DDoS) attacks are one of the key threats to modern cyberspace. The main difficulty of protecting against attacks of this type is that they are implemented with the help of legitimate requests. It is possible to filter out suspicious legitimate requests by using a network filter. The purpose of this article is to create and apply a graph probability model. This article discusses the approaches derived from mathematical modeling and probabilistic estimation. Mathematical and graph models are formed to calculate the probability of an attack.
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in Harvard Style
Bachmanov D., Putyato M. and Makaryan A. (2021). An Approach to Identifying the Process of Implementing a Distributed Denial of Service Attack based on a Probable Graph Model. In Proceedings of the International Scientific and Practical Conference on Computer and Information Security - Volume 1: INFSEC, ISBN 978-989-758-531-9, pages 145-149. DOI: 10.5220/0010620100003170
in Bibtex Style
@conference{infsec21,
author={Dmitriy Bachmanov and Michael Putyato and Alexander Makaryan},
title={An Approach to Identifying the Process of Implementing a Distributed Denial of Service Attack based on a Probable Graph Model},
booktitle={Proceedings of the International Scientific and Practical Conference on Computer and Information Security - Volume 1: INFSEC,},
year={2021},
pages={145-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010620100003170},
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 - An Approach to Identifying the Process of Implementing a Distributed Denial of Service Attack based on a Probable Graph Model
SN - 978-989-758-531-9
AU - Bachmanov D.
AU - Putyato M.
AU - Makaryan A.
PY - 2021
SP - 145
EP - 149
DO - 10.5220/0010620100003170