IDS-ML: An open source code for Intrusion Detection System development using Machine Learning

Abstract

Due to the expansion and development of modern networks, the volume and destructiveness of cyber attacks are continuously increasing. Intrusion Detection Systems (IDSs) are essential techniques for maintaining and enhancing network security. IDS-ML is an open-source code repository written in Python for developing IDSs from public network traffic datasets using traditional and advanced Machine Learning (ML) algorithms. With optimized ML models, the IDSs developed in the repository can identify various types of cyber-attacks to protect modern networks. This code repository can be easily implemented and reproduced on any intrusion detection datasets to solve problems in the cybersecurity field.

Topics & Concepts