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  • Produktbild: Guide to Vulnerability Analysis for Computer Networks and Systems
  • Produktbild: Guide to Vulnerability Analysis for Computer Networks and Systems

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

Aus der Reihe Computer Communications and Networks

55,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.01.2019

Abbildungen

X, 384 p. 117 illus., 103 illus. in color.

Herausgeber

Simon Parkinson + weitere

Verlag

Springer

Seitenzahl

384

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

598 g

Auflage

Softcover reprint of the original 1st edition 2018

Sprache

Englisch

ISBN

978-3-030-06474-7

Beschreibung

Portrait

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 .

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.01.2019

Abbildungen

X, 384 p. 117 illus., 103 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

384

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

598 g

Auflage

Softcover reprint of the original 1st edition 2018

Sprache

Englisch

ISBN

978-3-030-06474-7

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Guide to Vulnerability Analysis for Computer Networks and Systems
  • Produktbild: Guide to Vulnerability Analysis for Computer Networks and Systems

  • Part I: Introduction and State of the Art .- Review of the State of the Art of Vulnerability Assessment Using Artificial Intelligence.- A Survey of Machine Learning Algorithms and Their Application in Information Security.-  Part II: Vulnerability Assessment Frameworks .- Vulnerability Assessment of Cybersecurity for SCADA Systems.- A Predictive Model for Risk and Trust Assessment in Cloud Computing: Taxonomy and Analysis for Attack Pattern Detection.- AI and Metrics-Based Vulnerability-Centric Cyber Security Assessment and Countermeasure Selection.- Artificial Intelligence Agents as Mediators of Trustless Security Systems and Distributed Computing Applications.-  Part III: Applications of Artificial Intelligence .- Automated Planning of Administrative Tasks Using Historic Events: a File System Case Study.- Defending Against Chained Cyber-Attacks by Adversarial Agents.- Vulnerability Detection and Analysis in Adversarial Deep Learning.- SOCIO-LENS: SpottingUnsolicited Callers Through Network Analysis.- Function Call Graphs Versus Machine Learning for Malware Detection.- Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models.- Masquerade Detection on Mobile Devices.- Identifying File Interaction Patterns in Ransomware Behaviour.-  Part IV: Visualisation .- A Framework for the Visualisation of Cyber Security Requirements and its Application in BPMN.- Big Data and Cyber Security: A Visual Analytics Perspective.