Biblio
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2021. A Machine Learning based Threat Intelligence Framework for Industrial Control System Network Traffic Indicators of Compromise. SoutheastCon 2021. :1–5.
Cyber-attacks on our Nation's Critical Infrastructure are growing. In this research, a Cyber Threat Intelligence (CTI) framework is proposed, developed, and tested. The results of the research, using 5 different simulated attacks on a dataset from an Industrial Control System (ICS) testbed, are presented with the extracted IOCs. The Bagging Decision Trees model showed the highest performance of testing accuracy (94.24%), precision (0.95), recall (0.93), and F1-score (0.94) among the 9 different machine learning models studied.