9781119087519 - Cyber-Risk Informatics: Engineering Evaluation with Data Science von Sahinoglu, Mehmet (9 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

Zustand: New. 480.

Zustand: Gut. Zustand: Gut | Seiten: 560 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 560 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New. 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. Num Pages: 560 pages, illustrations. BIC Classification: TJ; UR. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 33. Weight in Grams: 868. . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Zustand: New. 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 assess.

Hardcover. Zustand: Brand New. har/psc edition. 527 pages. 8.00x5.00x1.00 inches. In Stock.

Buch. Zustand: Neu. Neuware - 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 book's 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 authorCyber-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.Mehmet Sahinoglu, a Professor (1990) Emeritus (2000), is the founder of the Informatics Institute (2009) and its SACS-accredited (2010) and NSA-certified (2013) flagship Cybersystems and Information Security (CSIS) graduate program (the first such full degree in-class program in Southeastern USA) at AUM, Auburn University's metropolitan campus in Montgomery, Alabama. He is a fellow member of the SDPS Society, a senior member of the IEEE, and an elected member of ISI. Sahinoglu is the recipient of Microsoft's Trustworthy Computing Curriculum (TCC) award and the author of Trustworthy Computing (Wiley, 2007).