awqcs/network-threats-taxonomy

Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies "A Taxonomy and Survey of Intrusion Detection System Design Techniques, Network Threats and Datasets” and “A Taxonomy of Malicious Traffic for Intrusion Detection Systems”, classifying threats as well as evaluating current datasets. The result shows that a large portion of current research published train IDS algorithms against outdated datasets and outdated threats. To this end, we provide the source of our threat taxonomy, allowing other researchers to contribute and modify it.

TeXGPL-3.0