Vor Ort
Merkzettel Warenkorb
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 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.09.2018

Herausgeber

Simon Parkinson + weitere

Verlag

Springer

Seitenzahl

384

Maße (L/B/H)

24,1/16/2,7 cm

Gewicht

758 g

Auflage

1st ed. 2018

Sprache

Englisch

ISBN

978-3-319-92623-0

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

Gebundene Ausgabe

Erscheinungsdatum

14.09.2018

Herausgeber

Verlag

Springer

Seitenzahl

384

Maße (L/B/H)

24,1/16/2,7 cm

Gewicht

758 g

Auflage

1st ed. 2018

Sprache

Englisch

ISBN

978-3-319-92623-0

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern
  • 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

    Saad Khan and Simon Parkinson

    A Survey of Machine Learning Algorithms and Their Application in Information Security

    Mark Stamp

    Part II: Vulnerability Assessment Frameworks

    Vulnerability Assessment of Cybersecurity for SCADA Systems

    Kyle Coffey, Leandros A. Maglaras, Richard Smith, Helge Janicke, Mohamed Amine Ferrag, Abdelouahid Derhab, Mithun Mukherjee, Stylianos Rallis, and Awais Yousaf

    A Predictive Model for Risk and Trust Assessment in Cloud Computing: Taxonomy and Analysis for Attack Pattern Detection

    Alexandros Chrysikos and Stephen McGuire

    AI and Metrics-Based Vulnerability-Centric Cyber Security Assessment and Countermeasure Selection

    Igor Kotenko, Elena Doynikova, Andrey Chechulin, and Andrey Fedorchenko

    Artificial Intelligence Agents as Mediators of Trustless Security Systems and Distributed Computing Applications

    Steven Walker-Roberts and Mohammad Hammoudeh

    Part III: Applications of Artificial Intelligence

    Automated Planning of Administrative Tasks Using Historic Events: a File System Case Study

    Saad Khan and Simon Parkinson

    Defending Against Chained Cyber-Attacks by Adversarial Agents

    Vivin Paliath and Paulo Shakarian

    Vulnerability Detection and Analysis in Adversarial Deep Learning

    Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, and Renato Levy

    SOCIO-LENS: Spotting Unsolicited Callers Through Network Analysis

    Muhammad Ajmal Azad, Junaid Arshad, and Farhan Riaz

    Function Call Graphs Versus Machine Learning for Malware Detection

    Deebiga Rajeswaran, Fabio Di Troia, Thomas H. Austin, and Mark Stamp

    Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models

    Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, and Mark Stamp

    Masquerade Detection on Mobile Devices

    Swathi Nambiar Kadala Manikoth, Fabio Di Troia, and Mark Stamp

    Identifying File Interaction Patterns in Ransomware Behaviour

    Liam Grant and Simon Parkinson

    Part IV: Visualisation

    A Framework for the Visualisation of Cyber Security Requirements and its Application in BPMN

    Bo Zhou, Curtis Maines, Stephen Tang, and Qi Shi

    Big Data and Cyber Security: A Visual Analytics Perspective

    Suvodeep Mazumdar and Jing Wang