A Taxonomy of Malicious Traffic for Intrusion Detection Systems

TL;DR

This paper proposes a taxonomy for classifying network attacks to aid in designing more effective intrusion detection systems and creating targeted datasets.

Contribution

It introduces a structured taxonomy of malicious traffic, providing a standardized framework for researchers to classify and analyze network threats.

Findings

Provides a comprehensive taxonomy for malicious network traffic

Facilitates the development of more accurate intrusion detection systems

Supports creation of targeted datasets for security research

Abstract

With the increasing number of network threats it is essential to have a knowledge of existing and new network threats in order to design better intrusion detection systems. In this paper we propose a taxonomy for classifying network attacks in a consistent way, allowing security researchers to focus their efforts on creating accurate intrusion detection systems and targeted datasets.