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Proceedings of International Ethical Hacking Conference 2019

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Table of Contents

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    Book Overview
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    Chapter 1 Review and Comparison of Face Detection Techniques
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    Chapter 2 Keyword Spotting with Neural Networks Used for Image Classification
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    Chapter 3 Strategic Way to Count the Number of People in a Room Using Multiple Kinect Cameras
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    Chapter 4 Biomedical Image Security Using Matrix Manipulation and DNA Encryption
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    Chapter 5 A Study on the Issue of Blockchain’s Energy Consumption
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    Chapter 6 Study on Network Scanning Using Machine Learning-Based Methods
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    Chapter 7 Is Blockchain the Future of Supply Chain Management—A Review Paper
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    Chapter 8 APDRChain: ANN Based Predictive Analysis of Diseases and Report Sharing Through Blockchain
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    Chapter 9 Study on S-box Properties of Convolution Coder
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    Chapter 10 Smart Healthcare Assistance Toward On-road Medical Emergency
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    Chapter 11 A Study on Various Database Models: Relational, Graph, and Hybrid Databases
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    Chapter 12 Microcontroller-Based Automotive Control System Employing Real-Time Health Monitoring of Drivers to Avoid Road Accidents
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    Chapter 13 Surface Potential Profile of Nano Scaled Work Function Engineered Gate Recessed IR Silicon on Insulator MOSFET
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    Chapter 14 A Mobile User Authentication Technique in Global Mobility Network
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    Chapter 15 Efficient Entity Authentication Using Modified Guillou–Quisquater Zero-Knowledge Protocol
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    Chapter 16 Ethical Hacking: Redefining Security in Information System
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    Chapter 17 Internal Organizational Security
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    Chapter 18 Securing Air-Gapped Systems
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    Chapter 19 Data Security Techniques Based on DNA Encryption
Attention for Chapter 8: APDRChain: ANN Based Predictive Analysis of Diseases and Report Sharing Through Blockchain
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Citations

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29 Mendeley
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Chapter title
APDRChain: ANN Based Predictive Analysis of Diseases and Report Sharing Through Blockchain
Chapter number 8
Book title
Proceedings of International Ethical Hacking Conference 2019
Published by
Springer, Singapore, August 2019
DOI 10.1007/978-981-15-0361-0_8
Book ISBNs
978-9-81-150360-3, 978-9-81-150361-0
Authors

Snehasis Bagchi, Mohuya Chakraborty, Arup Kumar Chattopadhyay, Bagchi, Snehasis, Chakraborty, Mohuya, Chattopadhyay, Arup Kumar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Student > Master 4 14%
Student > Bachelor 2 7%
Lecturer 1 3%
Student > Doctoral Student 1 3%
Other 3 10%
Unknown 10 34%
Readers by discipline Count As %
Computer Science 11 38%
Engineering 2 7%
Business, Management and Accounting 2 7%
Arts and Humanities 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 11 38%