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Graphical Models for Security

6th International Workshop, GraMSec 2019, Hoboken, NJ, USA, June 24, 2019, Revised Papers

  • Massimiliano Albanese
  • Ross Horne
  • Christian W. Probst
Conference proceedings GraMSec 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11720)

Also part of the Security and Cryptology book sub series (LNSC, volume 11720)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. Olga Gadyatskaya, Sjouke Mauw
      Pages 7-19
  3. Attack Trees

    1. Front Matter
      Pages 21-21
    2. Sophie Pinchinat, Barbara Fila, Florence Wacheux, Yann Thierry-Mieg
      Pages 23-49
    3. Sahar Berro, Ludovic Apvrille, Guillaume Duc
      Pages 50-67
    4. Delphine Beaulaton, Najah Ben Said, Ioana Cristescu, Salah Sadou
      Pages 68-94
  4. Risk Management and Attack Graphs

    1. Front Matter
      Pages 127-127
    2. Stéphane Paul, Paul Varela
      Pages 155-185
    3. Xinyue Mao, Mathias Ekstedt, Engla Ling, Erik Ringdahl, Robert Lagerström
      Pages 186-202
  5. Back Matter
    Pages 221-221

About these proceedings

Introduction

This book constitutes revised papers from the 6th International Workshop on Graphical Models for Security, GraMSec 2019, held in Hoboken, NJ, USA, in June 2019. 


The 8 full papers presented in this volume were carefully reviewed and selected from 15 submissions. The book also contains two invited talk. The contributions deal with the latest research and developments on graphical models for security.

Keywords

computer crime embedded systems graph theory graphic methods graphical representations Human-Computer Interaction (HCI) information security security systems social networks software engineering system architectures user interfaces video surveillance wireless networks

Editors and affiliations

  1. 1.George Mason University FairfaxUSA
  2. 2.University of LuxembourgEsch-sur-AlzetteLuxembourg
  3. 3.Unitec Institute of TechnologyAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-36537-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-36536-3
  • Online ISBN 978-3-030-36537-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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