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Critical Infrastructure Security and Resilience

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Cover of 'Critical Infrastructure Security and Resilience'

Table of Contents

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    Book Overview
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    Chapter 1 Resilience Approach to Critical Information Infrastructures
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    Chapter 2 Methodologies and Strategies for Critical Infrastructure Protection
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    Chapter 3 Risk Analysis for Critical Infrastructure Protection
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    Chapter 4 Risk-Based Analysis of the Vulnerability of Urban Infrastructure to the Consequences of Climate Change
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    Chapter 5 Identification of Vulnerabilities in Networked Systems
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    Chapter 6 Game-Theoretic Decision Making for the Resilience of Interdependent Infrastructures Exposed to Disruptions
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    Chapter 7 Smallest Pseudo Target Set Identification and Related Problems Using the Implicative Interdependency Model
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    Chapter 8 Leveraging Network Theory and Stress Tests to Assess Interdependencies in Critical Infrastructures
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    Chapter 9 Micro-Grid Control Security Analysis: Analysis of Current and Emerging Vulnerabilities
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    Chapter 10 Engineering Edge Security in Industrial Control Systems
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    Chapter 11 Secure Interconnection of IT-OT Networks in Industry 4.0
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    Chapter 12 Analysis and Triage of Advanced Hacking Groups Targeting Western Countries Critical National Infrastructure: APT28, RED October, and Regin
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    Chapter 13 Aviation Cybersecurity and Cyber-Resilience: Assessing Risk in Air Traffic Management
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    Chapter 14 Open Source Intelligence for Energy Sector Cyberattacks
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    Chapter 15 A Taxonomy of Side Channel Attacks on Critical Infrastructures and Relevant Systems
Attention for Chapter 14: Open Source Intelligence for Energy Sector Cyberattacks
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Chapter title
Open Source Intelligence for Energy Sector Cyberattacks
Chapter number 14
Book title
Critical Infrastructure Security and Resilience
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-00024-0_14
Book ISBNs
978-3-03-000023-3, 978-3-03-000024-0

Anastasis Keliris, Charalambos Konstantinou, Marios Sazos, Michail Maniatakos, Keliris, Anastasis, Konstantinou, Charalambos, Sazos, Marios, Maniatakos, Michail

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 17%
Student > Ph. D. Student 3 17%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Professor 1 6%
Other 3 17%
Unknown 6 33%
Readers by discipline Count As %
Computer Science 7 39%
Unspecified 3 17%
Engineering 2 11%
Unknown 6 33%