Cyber-Risk Informatics - Engineering Evaluation with Data Science...
- Category Other
- Type E-Books
- Language English
- Total size 116.2 MB
- Uploaded By Gooner01
- Downloads 504
- Last checked 1 week ago
- Date uploaded 9 years ago
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Infohash : 45932DE697FCE520C01F49A079F260D0F08FAA54
Publisher: Wiley-Blackwell; Har/Psc edition (17 Jun. 2016)
Language: English
ISBN-10: 1119087511
ISBN-13: 978-1119087519
This book provides a scientific modeling approach for conducting metricsâbased quantitative risk assessments of cybersecurity vulnerabilities and threats.
This book provides a scientific modeling approach for conducting metricsâbased quantitative risk assessments of cybersecurity threats. The author builds from a common understanding based on previous classâtested works to introduce the reader to the current and newly innovative approaches to address the maliciouslyâbyâhumanâcreated (rather than byâchanceâoccurring) vulnerability and threat, and related costâeffective management to mitigate such risk. This book is purely statistical dataâoriented (not deterministic) and employs computationally intensive techniques, such as Monte Carlo and Discrete Event Simulation. The enriched JAVA readyâtoâgo 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 bookâ˛s websiteâ˛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 inâclass experience while teaching advanced undergraduate and graduate courses by the author
CyberâRisk Informatics is a resource for undergraduate students, graduate students, and practitioners in the field of Risk Assessment and Management regarding Security and Reliability Modeling.
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Cyber-Risk Informatics - Engineering Evaluation with Data Science (2016) (Epub) Gooner- Cyber-Risk Informatics - Engineering Evaluation with Data Science (2016).epub (116.2 MB)
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