Cyber-Risk Informatics

PREFACE

This book is authored out of a dire necessity of merely not finding all SECURITY related core and internship topics in a textbook proper while teaching an advanced cybersecurity graduate course, for example, CSIS 6013, “Network Security and Reliability—Quantitative Metrics,” in a recently new graduate degree program founded by the author and accredited in December 2010. The book also relates to CSIS 6912, “Internship: Supervised Practicum with Cyber-Industry Experience,” and CSIS 6952, “Security Policy Seminar.” See www.aum.edu/csis. These courses have traditionally covered various topics in Cyber-Risk Computing. However, there is no one book that covers the newest applied and quantitative metrics-oriented topics in Security and Reliability Modeling. This book utilizes a data analytical or data scientific approach rather than heuristical and ad hoc methods that most authors employ through individual case studies without scientific modeling that should apply to all cases. Data science is the extraction of knowledge from data where data scientific techniques affect research in many domains, including the biological sciences, medical informatics, healthcare, social sciences, and the humanities. From the business perspective, data science is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and data analysis. Data scientists investigate complex problems through expertise in disciplines within ...