Novel Class Probability Features for Optimizing Network Attack Detection With Machine Learning-Reference-Cited by-同舟云学术

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

Author:

Raza Ali¹^ORCID,Munir Kashif²^ORCID,Almutairi Mubarak S.³^ORCID,Sehar Rukhshanda¹

Affiliation:

1. Institute of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

2. Institute of Information Technology, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

3. College of Computer Science and Engineering, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia

Funder

University of Hafr Al Batin, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference32 articles.

2. Machine learning for a network-based intrusion detection system: An application using Zeek and the CICIDS2017 dataset;gustavsson,2019

4. Anomaly detection in networks using machine learning;kostas;Research Proposal,2018

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