 Название: Guide to Vulnerability Analysis for Computer Networks and Systems: An Artificial Intelligence Approach
Автор: Simon Parkinson, Andrew Crampton
Издательство: Springer
ISBN: 3319926233
Год: 2018
Страниц: 381
Язык: английский
Формат: pdf (true), epub
Размер: 16.4 MB
This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms.
Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process.
In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.
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Guide to Vulnerability Analysis for Computer Networks and Systems: An Artificial Intelligence Approach 
