Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT

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ABOUT THE BOOK

The chapters in this book explore the main domains that represent considerable risks for the respect of privacy, such as education, health, finance or social media.

Through its place in the massive data production industry, the Internet of Things participates in the development of artificial intelligence and is increasingly attracting the attention of web giants, governments and especially all types of hackers. Thanks to this book, private and public organizations will have at their disposal a tool that highlights, on the one hand, the major challenges raised by privacy in the context of the Internet of Things and, on the other hand, recommendations for improving good practices.

Digital identity is presented as a bulwark for the protection of privacy. It opens up new avenues for improving digital trust. Concretely, there are a set of challenges that are associated with the management of digital identity, mainly in relation to the compliance and governance of personnel data in order to eliminate privacy and security risks.


TABLE OF CONTENTS

Introduction

Schallum Pierre and Fehmi Jaafar

SECTION I Digital Identity Era

Chapter 1 Demystifying the Digital Identity Challenges and the Blockchain Role

Manel Grichi and Fehmi Jaafar

Chapter 2 Blockchain for Digital Identity

Tim Weingärtner

SECTION II Privacy Dilemma

Chapter 3 Security and Corporate Violation to Privacy in the Internet of Things Age

Darine Amayed, Fehmi Jaafar, Riadh Ben Chaabene and Mohamed Cheriet

Chapter 4 Security, Privacy, and Blockchain in Financial Technology

Schallum Pierre and Olson Italis

SECTION III Sensitive Data Challenges

Chapter 5 Where Does the Novel Legal Framework for AI in Canada Stand against the Emerging Trend of

Online Test Proctoring?

Céline Castets-Renard and Simon Robichaud-Durand

Chapter 6 Blockchain, AI, and Data Protection in Healthcare: A Comparative Analysis of Two Blockchain Data Marketplaces

in Relation to Fair Data Processing and the ‘Data Double- Spending’ Problem

Deepansha Chhabra, Meng Kang and Victoria Lemieux

Chapter 7 Cyber Influence Stakes

Rachel Ladouceur and Fehmi Jaafar

Postface

Schallum Pierre and Fehmi Jaafar

 

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