TY - JOUR
KW - auto-encoding
KW - clustering with outliers
KW - Cybersecurity
KW - DBSCAN
KW - deep learning
KW - KNIME Analytics Platform
KW - machine learning
KW - MITRE ATT@CK framework
AU - Arvid Kok
AU - Ivana Mestric
AU - Giavid Valiyev
AU - Michael Street
AB - <p>In this paper we address the approaches, techniques and results of applying machine learning techniques for cyber threat prediction. Timely discovery of advanced persistent threats is of utmost importance for the protection of NATO’s and its allies’ networks. Therefore, NATO and NATO Communication and Information Agency’s Cyber Security service line is constantly looking for improvements. During Coalition Warrior Interoperability Exercise (CWIX) event data was captured on a Red-Blue Team Simulation. The data set was then used to apply a variety of Machine Learning techniques: deep-learning, auto-encoding and clustering with outliers.</p>
BT - Information & Security: An International Journal
DA - 2020
DO - https://doi.org/10.11610/isij.4714
IS - 2
LA - eng
N2 - <p>In this paper we address the approaches, techniques and results of applying machine learning techniques for cyber threat prediction. Timely discovery of advanced persistent threats is of utmost importance for the protection of NATO’s and its allies’ networks. Therefore, NATO and NATO Communication and Information Agency’s Cyber Security service line is constantly looking for improvements. During Coalition Warrior Interoperability Exercise (CWIX) event data was captured on a Red-Blue Team Simulation. The data set was then used to apply a variety of Machine Learning techniques: deep-learning, auto-encoding and clustering with outliers.</p>
PY - 2020
SE - 203
SP - 203
EP - 220
T2 - Information & Security: An International Journal
TI - Cyber Threat Prediction with Machine Learning
VL - 47
ER -