Abstract Machine Learning (ML) techniques are becoming an invaluable support for network
intrusion detection, especially in revealing anomalous flows, which often hide cyber-threats …

This paper presents a comprehensive review of evolutionary algorithms that learn an
ensemble of predictive models for supervised machine learning (classification and …

The problem of classifying traffic flows in networks has become more and more important in
recent times, and much research has been dedicated to it. In recent years, there has been a …

Abstract 1 1 Introduction 4 1.1 Importance of Network Traffic Classification................... 5 1.1. 1
QoS issues.................................. 5 1.1. 2 Intrusion detection system......................... 6 1.2 …

One of the most important security threats in Content Centric Networking (CCN) is cache
privacy disclosure, where an adversary can obtain the privacy information of a legitimate …

The focus of this research is the application of the Artificial Immune System (AIS) paradigm
to a new research area along with the modifications necessary to adapt it to a new problem …

Classification is the machine learning task of categorizing instances into classes. There are
several algorithms in the literature that perform classification, with varying degrees of …

Fast and accurate network traffic identification is becoming essential for network
management, high quality of service control and early detection of network traffic …

Network traffic classification is one of the foundations of recognizing, managing, and
optimizing various network resources. Ensemble learning can be used to improve the …

A decade of investigation on traffic classification has provided various techniques and
methodologies to improve the classification accuracy and efficacy in the data networks for …