AbertayMachineLearningGroup

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

CryptoKnight

Cryptographic Dataset Generation & Modelling Framework

machine-learning-SIEM-water-infrastructure

This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.

MQTT_ML

zero-day-detection

siamese-network-for-IDS

Abertay-Dissertation-Template-LaTeX

Abertay-Dissertation-Template-LaTeX

flow-aggregation