Novel Class Probability Features for Optimizing Network Attack Detection With Machine Learning

Novel Class Probability Features for Optimizing Network Attack Detection With Machine Learning

Network attacks refer to malicious activities exploiting computer network vulnerabilities to compromise security, disrupt operations, or gain unauthorized access to sensitive information. Common network attacks include phishing, malware distribution, and brute-force attacks on network devices and us...

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Bibliographic Details
Main Authors: Ali Raza, Kashif Munir, Mubarak S. Almutairi, Rukhshanda Sehar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Network attacks
intrusion detection
machine learning
feature engineering
Online Access:https://ieeexplore.ieee.org/document/10246280/

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