КФУ. Карточка публикации. Assessment of a Semi-supervised Machine Learning Method for Thwarting Network DDoS Assaults

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ASSESSMENT OF A SEMI-SUPERVISED MACHINE LEARNING METHOD FOR THWARTING NETWORK DDOS ASSAULTS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2024

Язык

английский

Авторы, сотрудники КФУ

Ахметшин Эльвир Мунирович, автор

Библиографическое описание на языке оригинала

Lakshmi S.G, Durga T.N.V, Srilatha P, Assessment of a Semi-supervised Machine Learning Method for Thwarting Network DDoS Assaults//Lecture Notes in Electrical Engineering. - 2024. - Vol.1155, Is.. - P.307-318.

Аннотация

In latest existence, Path identifiers (PID) have utilised as inter-domain routing (IDR) things in association. Though, the PIDs utilised in present methods are immobile that creates it simple for attacker to introduce D DoS flooding attacks. To discourse this problem, current a D-PID structure, which make use of PIDs negotiated among neighbouring domains as IDR substance. The PID of the inter-domain connection between two domains in DPID is going to be kept private and can vary periodically. Cryptographic techniques may be employed as well to safeguard the security of information shared over a network. There is a good possibility that DPID's data-secure technique will stop networking D DoS assaults.

Ключевые слова

Machine Learning

Название журнала

Lecture Notes in Electrical Engineering

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192388027&doi=10.1007%2f978-981-97-0644-0_28&partnerID=40&md5=0e4b5b93e008df3a2d52ef636468ffea

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https://repository.kpfu.ru/?p_id=307430

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Ахметшин Эльвир Мунирович	ru_RU
dc.date.accessioned	2024-01-01T00:00:00Z	ru_RU
dc.date.available	2024-01-01T00:00:00Z	ru_RU
dc.date.issued	2024	ru_RU
dc.identifier.citation	Lakshmi S.G, Durga T.N.V, Srilatha P, Assessment of a Semi-supervised Machine Learning Method for Thwarting Network DDoS Assaults//Lecture Notes in Electrical Engineering. - 2024. - Vol.1155, Is.. - P.307-318.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=307430	ru_RU
dc.description.abstract	Lecture Notes in Electrical Engineering	ru_RU
dc.description.abstract	In latest existence, Path identifiers (PID) have utilised as inter-domain routing (IDR) things in association. Though, the PIDs utilised in present methods are immobile that creates it simple for attacker to introduce D DoS flooding attacks. To discourse this problem, current a D-PID structure, which make use of PIDs negotiated among neighbouring domains as IDR substance. The PID of the inter-domain connection between two domains in DPID is going to be kept private and can vary periodically. Cryptographic techniques may be employed as well to safeguard the security of information shared over a network. There is a good possibility that DPID's data-secure technique will stop networking D DoS assaults.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Assessment of a Semi-supervised Machine Learning Method for Thwarting Network DDoS Assaults	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU