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Guide to Vulnerability Analysis for Computer Networks and Systems

An Artificial Intelligence Approach

Paperback Engels 2019 9783030064747
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783030064747
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Lezersrecensies

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Inhoudsopgave

<p>Part I: Introduction and State of the Art</p>

<p>Review of the State of the Art of Vulnerability Assessment Using Artificial Intelligence<br> Saad Khan and Simon Parkinson</p>

<p>A Survey of Machine Learning Algorithms and Their Application in Information Security<br> Mark Stamp</p>

<p>Part II: Vulnerability Assessment Frameworks</p>

<p>Vulnerability Assessment of Cybersecurity for SCADA Systems<br> Kyle Coffey, Leandros A. Maglaras, Richard Smith, Helge Janicke, Mohamed Amine Ferrag, Abdelouahid Derhab, Mithun Mukherjee, Stylianos Rallis, and Awais Yousaf</p>

<p>A Predictive Model for Risk and Trust Assessment in Cloud Computing: Taxonomy and Analysis for Attack Pattern Detection<br> Alexandros Chrysikos and Stephen McGuire</p>

<p>AI and Metrics-Based Vulnerability-Centric Cyber Security Assessment and Countermeasure Selection<br> Igor Kotenko, Elena Doynikova, Andrey Chechulin, and Andrey Fedorchenko</p>

<p>Artificial Intelligence Agents as Mediators of Trustless Security Systems and Distributed Computing Applications<br> Steven Walker-Roberts and Mohammad Hammoudeh</p>

<p>Part III: Applications of Artificial Intelligence</p>

Automated Planning of Administrative Tasks Using Historic Events: a File System Case Study<br> Saad Khan and Simon Parkinson<p></p>

<p>Defending Against Chained Cyber-Attacks by Adversarial Agents<br> Vivin Paliath and Paulo Shakarian</p>

<p>Vulnerability Detection and Analysis in Adversarial Deep Learning<br> Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, and Renato Levy</p>

<p>SOCIO-LENS: Spotting Unsolicited Callers Through Network Analysis<br> Muhammad Ajmal Azad, Junaid Arshad, and Farhan Riaz</p>

<p>Function Call Graphs Versus Machine Learning for Malware Detection<br> Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, and Mark Stamp</p>

<p>Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models<br> Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, and Mark Stamp</p>

<p>Masquerade Detection on Mobile Devices<br> Swathi Nambiar Kadala Manikoth, Fabio Di Troia, and Mark Stamp</p>

<p>Identifying File Interaction Patterns in Ransomware Behaviour<br> Liam Grant and Simon Parkinson</p>

<p>Part IV: Visualisation</p>

<p>A Framework for the Visualisation of Cyber Security Requirements and its Application in BPMN<br> Bo Zhou, Curtis Maines, Stephen Tang, and Qi Shi</p>

<p>Big Data and Cyber Security: A Visual Analytics Perspective<br> Suvodeep Mazumdar and Jing Wang</p>

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        Guide to Vulnerability Analysis for Computer Networks and Systems