Internet Traffic Classification Using Machine Learning Techniques
- Version
- Download 115
- File Size 1.12 MB
- File Count 1
- Create Date 7 April 2024
- Last Updated 7 April 2024
Internet Traffic Classification Using Machine Learning Techniques
- Author - Debmalya Ray
- Email - debmalya.ray9989@gmail.com
Abstract:
Internet traffic classification is a fundamental task for network services and management. There are good machine learning models to identify the class of traffic. However, finding the most discriminating features to have efficient models remains essential. In this paper, we use interpretable machine learning algorithms such as random forest and gradient boosting to find the most discriminating features for internet traffic classification. This paper aims to overcome these challenges by proposing machine learning classification mechanism.
Download