ATTACK DETECTION IN ENTERPRISE NETWORKS BY MACHINE LEARNING METHODS

ATTACK DETECTION IN ENTERPRISE NETWORKS BY MACHINE LEARNING METHODS

Detection of network attacks is currently one of the most important problems of secure use of enterprise networks. Network signature-based intrusion detection systems cannot detect new types of attacks. Thus, the urgent task is to quickly classify network traffic to detect network attacks. The arti...

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Bibliographic Details
Main Authors: Nadezhda F. Bakhareva, Veniamin N. Tarasov, Aleksandr E. Shukhman, Petr N. Polezhaev, Yuri A. Ushakov, Artem A. Matveev
Format: Article
Language:Russian
Published: The Fund for Promotion of Internet media, IT education, human development «League Internet Media» 2018-09-01
Series:Современные информационные технологии и IT-образование
Subjects:
Protection of enterprise networks
traffic analysis
classification
machine learning
detection of attacks
Online Access:http://sitito.cs.msu.ru/index.php/SITITO/article/view/427

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http://sitito.cs.msu.ru/index.php/SITITO/article/view/427

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