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.