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A Handbook of Internet of Things in Biomedical and Cyber Physical System

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Cover of 'A Handbook of Internet of Things in Biomedical and Cyber Physical System'

Table of Contents

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    Book Overview
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    Chapter 1 The Basics of Healthcare IoT: Data Acquisition, Medical Devices, Instrumentations and Measurements
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    Chapter 2 Hardware Based Cyber System Using High Performance Crypto Hash Bloom Filter for Network Security and Privacy Preserving Applications
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    Chapter 3 Security Analysis and a Potential Layer to Layer Security Solution of Medical Cyber-Physical Systems
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    Chapter 4 The Internet of Things and Its Applications in Cyber Security
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    Chapter 5 Security Challenges for Designing Wearable and IoT Solutions
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    Chapter 6 A SVM Algorithm for Falling Detection in an IoTs-Based System
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    Chapter 7 Transforming Healthcare Through Various Technique in Internet of Things
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    Chapter 8 Closeness Factor Based Clustering Algorithm (CFBA) and Allied Implementations—Proposed IoMT Perspective
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    Chapter 9 A Deep Learning Framework for Heart Disease Classification in an IoTs-Based System
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    Chapter 10 Wearable Devices and IoT
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    Chapter 11 IoT Sensor Data Integration in Healthcare using Semantics and Machine Learning Approaches
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    Chapter 12 Challenges and Opportunities of Internet of Things for Health Care
Attention for Chapter 2: Hardware Based Cyber System Using High Performance Crypto Hash Bloom Filter for Network Security and Privacy Preserving Applications
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Citations

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18 Dimensions

Readers on

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5 Mendeley
Summary Dimensions citations
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Chapter title
Hardware Based Cyber System Using High Performance Crypto Hash Bloom Filter for Network Security and Privacy Preserving Applications
Chapter number 2
Book title
A Handbook of Internet of Things in Biomedical and Cyber Physical System
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-23983-1_2
Book ISBNs
978-3-03-023982-4, 978-3-03-023983-1
Authors

K. Saravanan, Shajimon K. John, Riboy Cheriyan, A. Senthilkumar, Saravanan, K., John, Shajimon K., Cheriyan, Riboy, Senthilkumar, A.

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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 1 20%
Lecturer 1 20%
Unknown 3 60%
Readers by discipline Count As %
Computer Science 2 40%
Unknown 3 60%

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