Network intrusion detection using machine learning approaches: Addressing data imbalance

Author:

Ahsan Rahbar1ORCID,Shi Wei2ORCID,Corriveau Jean‐Pierre1

Affiliation:

1. School of Computer Science Carleton University Ottawa Canada

2. School of Information Technology Carleton University Ottawa Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference25 articles.

1. Towards generating real‐life datasets for network intrusion detection;Bhuyan M.H.;IJ Network Security,2015

2. A survey of emerging threats in cybersecurity

3. An overview of intrusion detection system (IDS) along with its commonly used techniques and classifications;Uppal H.A.M.;Int J Comput Sci Telecommun,2014

4. Data-Driven Cybersecurity Incident Prediction: A Survey

5. A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection

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