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Critical Infrastructure Protection VIII

Overview of attention for book
Cover of 'Critical Infrastructure Protection VIII'

Table of Contents

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    Book Overview
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    Chapter 1 Detecting Integrity Attacks on Industrial Control Systems
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    Chapter 2 Detecting Malicious Software Execution in Programmable Logic Controllers Using Power Fingerprinting
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    Chapter 3 Timing of Cyber-Physical Attacks on Process Control Systems
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    Chapter 4 Recovery of Structural Controllability for Control Systems
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    Chapter 5 Industrial Control System Traffic Data Sets for Intrusion Detection Research
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    Chapter 6 An Industrial Control System Testbed Based on Emulation, Physical Devices and Simulation
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    Chapter 7 Evidence Theory for Cyber-Physical Systems
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    Chapter 8 An Automated Dialog System for Conducting Security Interviews for Access Control
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    Chapter 9 A Survey of Critical Infrastructure Security
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    Chapter 10 A System Dynamics Framework for Modeling Critical Infrastructure Resilience
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    Chapter 11 Reinforcement Learning Using Monte Carlo Policy Estimation for Disaster Mitigation
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    Chapter 12 Critical Infrastructure Protection VIII
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    Chapter 13 A Decision Support Tool for a Unified Homeland Security Strategy
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    Chapter 14 Assessing the Impact of Cyber Attacks on Wireless Sensor Nodes That Monitor Interdependent Physical Systems
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    Chapter 15 Critical Infrastructure Protection VIII
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    Chapter 16 Evaluation of Format- Preserving Encryption Algorithms for Critical Infrastructure Protection
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    Chapter 17 Critical Infrastructure Protection VIII
Attention for Chapter 7: Evidence Theory for Cyber-Physical Systems
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Citations

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Summary Dimensions citations
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Chapter title
Evidence Theory for Cyber-Physical Systems
Chapter number 7
Book title
Critical Infrastructure Protection VIII
Published by
Springer, Berlin, Heidelberg, March 2014
DOI 10.1007/978-3-662-45355-1_7
Book ISBNs
978-3-66-245354-4, 978-3-66-245355-1
Authors

Riccardo Santini, Chiara Foglietta, Stefano Panzieri, Santini, Riccardo, Foglietta, Chiara, Panzieri, Stefano

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 80%
Researcher 1 20%
Readers by discipline Count As %
Engineering 3 60%
Social Sciences 1 20%
Computer Science 1 20%

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