Machine Learning Methods for Network Intrusion Detection

by   Mouhammad Alkasassbeh, et al.

Network security engineers work to keep services available all the time by handling intruder attacks. Intrusion Detection System (IDS) is one of the obtainable mechanisms that is used to sense and classify any abnormal actions. Therefore, the IDS must be always up to date with the latest intruder attacks signatures to preserve confidentiality, integrity, and availability of the services. The speed of the IDS is a very important issue as well learning the new attacks. This research work illustrates how the Knowledge Discovery and Data Mining (or Knowledge Discovery in Databases) KDD dataset is very handy for testing and evaluating different Machine Learning Techniques. It mainly focuses on the KDD preprocess part in order to prepare a decent and fair experimental data set. The J48, MLP, and Bayes Network classifiers have been chosen for this study. It has been proven that the J48 classifier has achieved the highest accuracy rate for detecting and classifying all KDD dataset attacks, which are of type DOS, R2L, U2R, and PROBE.




Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques

Network security engineers work to keep services available all the time ...

Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process

The identification of cyberattacks which target information and communic...

Evaluation of Machine Learning Algorithms for Intrusion Detection System

Intrusion detection system (IDS) is one of the implemented solutions aga...

Intrusion Detection with Machine Learning Using Open-Sourced Datasets

No significant research has been conducted so far on Intrusion detection...

A cognitive based Intrusion detection system

Intrusion detection is one of the primary mechanisms to provide computer...

Efficient Intrusion Detection Using Evidence Theory

Intrusion Detection Systems (IDS) are now an essential element when it c...

A Machine Learning Approach for DDoS Detection on IoT Devices

In the current world, the Internet is being used almost everywhere. With...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.