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Advances in Cybersecurity Management

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Cover of 'Advances in Cybersecurity Management'

Table of Contents

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    Book Overview
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    Chapter 1 Agent-Based Modeling of Entity Behavior in Cybersecurity
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    Chapter 2 A Secure Bio-Hash–Based Multiparty Mutual Authentication Protocol for Remote Health Monitoring Applications
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    Chapter 3 Cybersecurity Attacks During COVID-19: An Analysis of the Behavior of the Human Factors and a Proposal of Hardening Strategies
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    Chapter 4 Vehicle Network Security Metrics
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    Chapter 5 VizAttack: An Extensible Open-Source Visualization Framework for Cyberattacks
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    Chapter 6 Geographically Dispersed Supply Chains: A Strategy to Manage Cybersecurity in Industrial Networks Integration
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    Chapter 7 The Impact of Blockchain on Cybersecurity Management
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    Chapter 8 A Framework for Enterprise Cybersecurity Risk Management
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    Chapter 9 Biometrics for Enterprise Security Risk Mitigation
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    Chapter 10 SQL Injection Attacks and Mitigation Strategies: The Latest Comprehension
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    Chapter 11 Managing Cybersecurity Events Using Service-Level Agreements (SLAs) by Profiling the People Who Attack
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    Chapter 12 Recent Techniques Supporting Vulnerabilities Management for Secure Online Apps
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    Chapter 13 Information Technology Risk Management
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    Chapter 14 From Lessons Learned to Improvements Implemented: Some Roles for Gaming in Cybersecurity Risk Management
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    Chapter 15 Applications of Social Network Analysis to Managing the Investigation of Suspicious Activities in Social Media Platforms
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    Chapter 16 SIREN: A Fine Grained Approach to Develop Information Security Search Engine
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    Chapter 17 Dimensions of Cybersecurity Risk Management
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    Chapter 18 The New Normal: Cybersecurity and Associated Drivers for a Post-COVID-19 Cloud
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    Chapter 19 Proven and Modern Approaches to Identity Management
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    Chapter 20 A Hybrid Recommender for Cybersecurity Based on Rating Approach
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    Chapter 21 An Introduction to Security Operations
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2 Wikipedia pages

Citations

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6 Dimensions

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53 Mendeley
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Title
Advances in Cybersecurity Management
Published by
Springer International Publishing, January 2021
DOI 10.1007/978-3-030-71381-2
ISBNs
978-3-03-071380-5, 978-3-03-071381-2
Editors

Kevin Daimi, Cathryn Peoples

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Student > Master 5 9%
Student > Postgraduate 3 6%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 9 17%
Unknown 25 47%
Readers by discipline Count As %
Computer Science 17 32%
Business, Management and Accounting 2 4%
Arts and Humanities 1 2%
Agricultural and Biological Sciences 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 29 55%