Automated Network Incident Identification through Genetic Algorithm-Driven Feature Selection

Automated Network Incident Identification through Genetic Algorithm-Driven Feature Selection

The cybersecurity landscape presents daunting challenges, particularly in the face of Denial of Service (DoS) attacks such as DoS Http Unbearable Load King (HULK) attacks and DoS GoldenEye attacks. These malicious tactics are designed to disrupt critical services by overwhelming web servers with mal...

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Bibliographic Details
Main Authors: Ahmet Aksoy, Luis Valle, Gorkem Kar
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Electronics
Subjects:
network traffic analysis
incident classification
automated incident detection
network security
traffic pattern recognition
cybersecurity
Online Access:https://www.mdpi.com/2079-9292/13/2/293

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