KingFisher
Giuseppe Bernieri, Mauro Conti, Federico Turrin · 2019
The recent evolution of edge computing favored the Industrial Internet of Things (IIoT) growth, opening dangerous surfaces of vulnerabilities. In this distributed sensor system scenario, due to the insecure interactions between Information Technology (IT) and Operational Technology (OT) networks, cyber-physical threats could lead to destructive consequences for environments and population safety. To deal with industrial cyber-physical security, modern anomaly detection systems implement innovative Machine Learning (ML) techniques. Unfortunately, current solutions still fail to provide an effective prevention to complex industrial threats.