Predictive Analytics: Case Studies for Cybersecurity

Cybersecurity is the protection of user software from maliciously-intentioned agents and parties. Cyberattacks commonly focus on critical physical infrastructures like power plants oil refineries and gas pipelines. For geopolitical reasons the cybersecurity of such installations is increasingly important. In this course explore the use of classification models when modeling cyberattacks and the evaluation metrics for classification models. Next examine a case study where machine learning and cybersecurity attempt to detect intrusions in a gas pipeline. Finally investigate a case study where machine learning models are used to detect and cope with malware. Upon completion youll be able to identify the need for AI in cybersecurity and outline the appropriate use of evaluation metrics for classification models.