Detecting Denial of Service attacks using machine learning algorithms

Detecting Denial of Service attacks using machine learning algorithms

Abstract Currently, Distributed Denial of Service Attacks are the most dangerous cyber danger. By inhibiting the server's ability to provide resources to genuine customers, the affected server's resources, such as bandwidth and buffer size, are slowed down. A mathematical model for distrib...

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Bibliographic Details
Main Authors: Kimmi Kumari, M. Mrunalini
Format: Article
Language:English
Published: SpringerOpen 2022-04-01
Series:Journal of Big Data
Subjects:
DDOS attacks
Machine learning for security
Mathematical model for Bandwidth Depletion
Throughput analysis of attack and normal scenario
Online Access:https://doi.org/10.1186/s40537-022-00616-0

Internet

https://doi.org/10.1186/s40537-022-00616-0

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