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

Author:

Raza Ali1ORCID,Munir Kashif2ORCID,Almutairi Mubarak S.3ORCID,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

Reference32 articles.

1. Improving AdaBoost-based Intrusion Detection System (IDS) Performance on CIC IDS 2017 Dataset

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

3. Adaptive Machine Learning Based Network Intrusion Detection

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

5. On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice

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