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Biometric-Based Physical and Cybersecurity Systems

Overview of attention for book
Cover of 'Biometric-Based Physical and Cybersecurity Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Advances in Fingerprint Technology
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    Chapter 3 Recognition-Based on Eye Biometrics: Iris and Retina
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    Chapter 4 3D Hand Geometry Recognition
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    Chapter 5 Fundamentals and Advances in 3D Face Recognition
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    Chapter 6 Advances in Key Stroke Dynamics-Based Security Schemes
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    Chapter 7 Behavioral Biometrics Based on Human-Computer Interaction Devices
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    Chapter 8 Continuous Authentication Using Writing Style
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    Chapter 9 Facets and Promises of Gait Biometric Recognition
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    Chapter 10 Online Signature-Based Biometric Recognition
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    Chapter 11 EEG-Based Biometrics
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    Chapter 12 Multimodal Biometric Invariant Fusion Techniques
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    Chapter 13 Biometrics Based on Healthcare Sensors
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    Chapter 14 Biometric Authentication for Wearables
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    Chapter 15 Cognitive Biometrics for User Authentication
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    Chapter 16 Finger Knuckle-Based Multi-Biometric Authentication Systems
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    Chapter 17 Leveraging Cloud-Based Resources for Automated Biometric Identification
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    Chapter 18 Automated Biometric Authentication with Cloud Computing
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    Chapter 19 Biometric Security and Internet of Things (IoT)
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    Chapter 20 Protecting the Integrity of Elections Using Biometrics
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    Chapter 21 Ethical, Legal, and Social Implications of Biometric Technologies
Overall attention for this book and its chapters
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Mentioned by

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4 X users
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2 Wikipedia pages

Citations

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58 Dimensions

Readers on

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107 Mendeley
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Title
Biometric-Based Physical and Cybersecurity Systems
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-319-98734-7
ISBNs
978-3-31-998733-0, 978-3-31-998734-7
Editors

Obaidat, Mohammad S., Traore, Issa, Woungang, Isaac

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 23%
Lecturer 12 11%
Student > Ph. D. Student 10 9%
Student > Bachelor 8 7%
Student > Doctoral Student 5 5%
Other 10 9%
Unknown 37 35%
Readers by discipline Count As %
Computer Science 43 40%
Engineering 13 12%
Philosophy 3 3%
Nursing and Health Professions 2 2%
Social Sciences 2 2%
Other 3 3%
Unknown 41 38%