USING SUPPORT VECTORS TO BUILD A RULE-BASED SYSTEM FOR DETECTING MALICIOUS PROCESSES IN AN ORGANISATION'S NETWORK TRAFFIC

USING SUPPORT VECTORS TO BUILD A RULE-BASED SYSTEM FOR DETECTING MALICIOUS PROCESSES IN AN ORGANISATION'S NETWORK TRAFFIC

The growing complexity and sophistication of cyberattacks on organisational information resources and the variety of malware processes in unprotected networks necessitate the development of advanced methods for detecting malicious processes in network traffic. Systems for detecting malicious proces...

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Bibliographic Details
Main Authors: Halyna Haidur, Sergii Gakhov, Dmytro Hamza
Format: Article
Language:English
Published: Lublin University of Technology 2024-12-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
network security
classification of network traffic
supervised learning
support vector machine classification
rule-based systems
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/6366
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