ABSTRACT
This chapter highlights significant research and challenges pertaining to the applicability of emerging predictive and prescriptive analytics solutions to achieve cyber resilience. It presents significant predictive and prescriptive analytics solutions for protecting the cyberinfrastructure supporting scientific research. The chapter discusses various predictive and prescriptive analytics techniques/algorithms that when combined effectively will aid in proactively re-architecting the computing system to impede or neutralize malicious attacks and diminish their impact and consequences. The prescriptive analytics comprises a predictive model with two additional components: actionable data and a feedback system that tracks the outcome produced by the action taken. Cybersecurity analytics involves two categories of advanced analytics, which are predictive and prescriptive; each implements big data and different levels of human involvement for producing different outcomes. Securing the systems used in scientific computing is a challenging task considering the nature of the systems, with High-Performance Computing systems being especially vulnerable.
