Guide to Vulnerability Analysis for Computer Networks and Systems

An Artificial Intelligence Approach de

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Éditeur :

Springer


Collection :

Computer Communications and Networks

Paru le : 2018-09-04

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Description

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.

Pages
384 pages
Collection
Computer Communications and Networks
Parution
2018-09-04
Marque
Springer
EAN papier
9783319926230
EAN PDF
9783319926247

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
10824 Ko
Prix
58,01 €
EAN EPUB
9783319926247

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
6093 Ko
Prix
58,01 €