Development of a centralized intrusion detection system using machine learning

In the world of Internet many people become victim of cyberattacks. One of the most devastating threats are DoS and DDoS attacks. In this paper is suggested an Intrusion Detection System in which are implemented machine learning models. SVM classification algorithm is used for making three different...

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Bibliographic Details
Main Authors: Rusev, Alexander, Tsochev, Georgi, Trifonov, Roumen
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Denial of service attacks
Intrusion detection systems
Machine learning
Support vector machines
Online Access:Get full text
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Summary:In the world of Internet many people become victim of cyberattacks. One of the most devastating threats are DoS and DDoS attacks. In this paper is suggested an Intrusion Detection System in which are implemented machine learning models. SVM classification algorithm is used for making three different machine learning models. Each machine model has specifically chosen features which characterize a different type of DoS attack. All machine learning models are integrated in the proposed IDS.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0124920