Securing our critical infrastructure is vital to national security. This presentation demonstrates techniques that can be used to detect cyberattacks or equipment failures. A typical industrial control system is used as an example, with data collected to monitor and control the system. Data science techniques to prepare the data for machine learning will be analyzed. Various machine-learning approaches used to detect anomalies due to cyberattacks or equipment failures will be demonstrated and their efficacy discussed.
Presented: November 26, 2019 12:00 pm - 12:45 pm Presenter: Dr. R. Scott Starsman Host: The Defense Systems Information Analysis Center (DSIAC), the Cyber Security & Information Systems Information Analysis Center (CSIAC), and the Homeland Defense and Security Information Analysis Center (HDIAC)