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Security and Privacy Trends in the Industrial Internet of Things

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Cover of 'Security and Privacy Trends in the Industrial Internet of Things'

Table of Contents

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    Book Overview
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    Chapter 1 Securing Industrial Control Systems
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    Chapter 2 Towards a Secure Industrial Internet of Things
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    Chapter 3 Advanced Persistent Threats and Zero-Day Exploits in Industrial Internet of Things
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    Chapter 4 A Survey on Lightweight Authenticated Encryption and Challenges for Securing Industrial IoT
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    Chapter 5 Access Control in the Industrial Internet of Things
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    Chapter 6 A Distributed Usage Control Framework for Industrial Internet of Things
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    Chapter 7 Profiling Communications in Industrial IP Networks: Model Complexity and Anomaly Detection
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    Chapter 8 Improving Security in Industrial Internet of Things: A Distributed Intrusion Detection Methodology
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    Chapter 9 Who’s There? Evaluating Data Source Integrity and Veracity in IIoT Using Multivariate Statistical Process Control
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    Chapter 10 Secure Machine to Machine Communication in Industrial Internet of Things
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    Chapter 11 Modelling the Privacy Impact of External Knowledge for Sensor Data in the Industrial Internet of Things
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    Chapter 12 Security and Privacy Techniques for the Industrial Internet of Things
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    Chapter 13 IIoT in the Hospital Scenario: Hospital 4.0, Blockchain and Robust Data Management
  15. Altmetric Badge
    Chapter 14 Design and Realization of Testbeds for Security Research in the Industrial Internet of Things
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Citations

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Title
Security and Privacy Trends in the Industrial Internet of Things
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-12330-7
ISBNs
978-3-03-012329-1, 978-3-03-012330-7
Editors

Alcaraz, Cristina

X Demographics

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Master 4 21%
Unspecified 2 11%
Student > Bachelor 2 11%
Lecturer 1 5%
Other 2 11%
Unknown 4 21%
Readers by discipline Count As %
Computer Science 8 42%
Engineering 4 21%
Business, Management and Accounting 2 11%
Unspecified 1 5%
Unknown 4 21%