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Graphical Models for Security : 6th International Workshop, GraMSec 2019, Hoboken, NJ, USA, June 24, 2019, Revised Papers / edited by Massimiliano Albanese, Ross Horne, Christian W. Probst.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Security and cryptology ; SL 4, 11720
- Security and Cryptology ; 11720
- Language:
- English
- Subjects (All):
- Data protection.
- Computer science.
- Computer science-Mathematics.
- Image processing-Digital techniques.
- Computer vision.
- Data and Information Security.
- Theory of Computation.
- Mathematics of Computing.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Data and Information Security.
- Theory of Computation.
- Mathematics of Computing.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (IX, 221 pages) : 188 illustrations, 73 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Invited Papers
- Graph Models in Tracking Behaviors for Cyber-Security
- Attack tree series: a case for dynamic attack tree analysis
- Attack Trees
- Attack trees: a notion of missing attacks
- Optimizing System Architecture Cost and Security Countermeasures
- Security Analysis of IoT systems using Attack Trees
- Attackdefense trees for abusing optical power meters: A case study and the OSEAD tool experience report
- Risk Management and Attack Graphs
- Quantifying and Analyzing Information Security Risk from Incident Data
- Poster Support for an Obeya-like Risk Management Approach
- Conceptual Abstraction of Attack Graphs - a Use Case of securiCAD
- High-level Automatic Event Detection and User Classification in a Social Network Context.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-36537-0
- 9783030365370
- Access Restriction:
- Restricted for use by site license.
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