Cyber-Risk Informatics: Engineering Evaluation with Data Science [EPUB]

Cyber-Risk Informatics: Engineering Evaluation with Data Science [EPUB]
Cyber-Risk Informatics: Engineering Evaluation with Data Science by Mehmet Sahinoglu
2016 | EPUB | 116.25MB

This book provides a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity vulnerabilities and threats.

This book provides a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity threats. The author builds from a common understanding based on previous class-tested works to introduce the reader to the current and newly innovative approaches to address the maliciously-by-human-created (rather than by-chance-occurring) vulnerability and threat, and related cost-effective management to mitigate such risk. This book is purely statistical data-oriented (not deterministic) and employs computationally intensive techniques, such as Monte Carlo and Discrete Event Simulation. The enriched JAVA ready-to-go applications and solutions to exercises provided by the author at the books specifically preserved website will enable readers to utilize the course related problems.

  • Enables the reader to use the book's website's applications to implement and see results, and use them making budgetary sense
  • Utilizes a data analytical approach and provides clear entry points for readers of varying skill sets and backgrounds
  • Developed out of necessity from real in-class experience while teaching advanced undergraduate and graduate courses by the author

Cyber-Risk Informatics is a resource for undergraduate students, graduate students, and practitioners in the field of Risk Assessment and Management regarding Security and Reliability Modeling.