Invasion Detection Model using Two-Stage Criterion of Detection of Network Anomalies

Buriachok, Volodymyr and Ageyev, Dmytro and Zhyltsov, Oleksii and Skladannyi, Pavlo and Sokolov, V. Y. (2020) Invasion Detection Model using Two-Stage Criterion of Detection of Network Anomalies Cybersecurity Providing in Information and Telecommunication Systems, 2746. pp. 23-32. ISSN 1613-0073

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Abstract

The article considers the methods that affect the operation of the intrusion detection system. Using the “disconnection task,” a two-stage criterion for detecting anomalies in computer networks has been formed, which provides an analysis of network infrastructure characteristics and their identification with specific computer attacks and provides the ability to respond to possible attacks in real-time.

Item Type:	Article
Additional Information:	EID: 2-s2.0-85096946608
Uncontrolled Keywords:	intrusion detection systems; anomalies; signature analysis method; statistical analysis method; neural networks; invasion detection model; attack
Subjects:	Це архівна тематика Київського університету імені Бориса Грінченка > Статті у наукометричних базах > Scopus
Divisions:	Це архівні підрозділи Київського університету імені Бориса Грінченка > Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки імені професора Володимира Бурячка
Depositing User:	Volodymyr Sokolov
Date Deposited:	21 Dec 2020 13:50
Last Modified:	21 Dec 2020 13:50
URI:	https://elibrary.kubg.edu.ua/id/eprint/33913

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