Guide to Vulnerability Analysis for Computer Networks and Systems: An Artificial Intelligence Approach

Simon Parkinson (Curatore)

Andrew Crampton (Curatore)

Springer International Publishing AG, 2018

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.

• Curatore: Simon Parkinson, Andrew Crampton
• Editore: Springer International Publishing AG
• Collana: Computer Communications and Networks
• Anno: 2018
• Rilegatura: Hardback
• Pagine: 384 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783319926230

Testo in English