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

Simon Parkinson (Editor), Andrew Crampton (Editor), Richard Hill (Editor)

Research output: Book/ReportBook

Abstract

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.
Original languageEnglish
PublisherSpringer International Publishing
Number of pages384
Edition1st
ISBN (Electronic)9783319926247
ISBN (Print)9783319926230
DOIs
Publication statusPublished - 9 Oct 2018

Publication series

NameComputer Communications and Networks
PublisherSpringer International
ISSN (Print)1617-7975
ISSN (Electronic)2197-8433

Fingerprint Dive into the research topics of 'Guide to Vulnerability Analysis for Computer Networks and Systems: An Artificial Intelligence Approach'. Together they form a unique fingerprint.

  • Cite this