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

Guide to Vulnerability Analysis for Computer Networks and Systems

An Artificial Intelligence Approach

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

eText | 4 September 2018

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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.

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Non-FictionComputing & I.T.Computer HardwareNetwork HardwareComputer SecurityData EncryptionDigital Lifestyle & Online World: Consumer & User GuidesInternet Guides & Online ServicesPsychologyCognition & Cognitive PsychologyComputer ScienceSystems Analysis & Design
Computer Networking & CommunicationsNetwork Security

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