Guide to vulnerability analysis for computer networks and systems : an artificial intelligence approach /

Guide to vulnerability analysis for computer networks and systems : an artificial intelligence approach /

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Bibliographic Details
Imprint:	Cham, Switzerland : Springer, 2018.
Description:	1 online resource
Language:	English
Series:	Computer communications and networks, 1617-7975 Computer communications and networks.
Subject:	Computer networks -- Security measures. Computer security. Artificial intelligence. Artificial intelligence. Computer networks -- Security measures. Computer security. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11705987

Hidden Bibliographic Details
Other authors / contributors:	Parkinson, Simon, editor. Crampton, Andrew, editor. Hill, Richard, editor.
ISBN:	9783319926247 3319926241 9783319926254 331992625X 9783319926230 3319926233
Digital file characteristics:	text file PDF
Notes:	Includes index. Online resource; title from PDF title page (SpringerLink, viewed September 17, 2018).
Summary:	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. Dr. Simon Parkinson is a Senior Lecturer in Computer Science in the School of Computing and Engineering, University of Huddersfield, UK. Prof. Andrew Crampton is a Professor of Computational Mathematics in the School of Computing and Engineering, and the Associate Dean for Teaching and Learning at the University of Huddersfield. Prof. Richard Hill is a Professor of Intelligent Systems, the Head of the Department of Informatics, and the Director of the Centre for Industrial Analytics at the University of Huddersfield. His other publications include the successful Springer titles Guide to Security Assurance for Cloud Computing, Big-Data Analytics and Cloud Computing, Guide to Cloud Computing, and Cloud Computing for Enterprise Architectures.
Other form:	Print version: Guide to vulnerability analysis for computer networks and systems. Cham, Switzerland : Springer, 2018 3319926233 9783319926230
Standard no.:	10.1007/978-3-319-92624-7 10.1007/978-3-319-92

Description
Summary:	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.
Item Description:	Includes index.
Physical Description:	1 online resource
ISBN:	9783319926247 3319926241 9783319926254 331992625X 9783319926230 3319926233
ISSN:	1617-7975