Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
1st Edition
Published on 17. October 2023
Book
Hardback
183 pages
978-1-032-13098-9 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
General
Illustrations
16 s/w Zeichnungen, 9 s/w Tabellen, 16 s/w Abbildungen
9 Tables, black and white; 16 Line drawings, black and white; 16 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 15 mm
Weight
464 gr
ISBN-13
978-1-032-13098-9 (9781032130989)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Fehmi Jaafar | Schallum Pierre
Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
Book
05/2025
1st Edition
CRC Press
€76.60
Shipment within 10-20 days
Fehmi Jaafar | Schallum Pierre
Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
E-Book
10/2023
1st Edition
CRC Press
€69.99
Available for download
Fehmi Jaafar | Schallum Pierre
Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
E-Book
10/2023
1st Edition
CRC Press
€69.99
Available for download
Persons
Dr. Fehmi Jaafar is currently an Associate Professor at Quebec University at Chicoutimi and an Affiliate Professor at Laval University and Concordia University.
Previously, he was Researcher at the Computer Research Institute of Montreal, an Adjunct Professor at Concordia University of Edmonton, and a postdoctoral research fellow at Queen's University and Polytechnique Montreal.
Dr. Fehmi Jaafar received his PhD from the Department of Computer Science at Montreal University, Canada. He is interested in cybersecurity in the Internet of Things, in the analysis and the improvement of the security and quality of software systems, and in the application of machine learning techniques in cybersecurity.
His research has been published in top venues in computer sciences, including the Journal of Empirical Software Engineering (EMSE) and the Journal of Software: Evolution and Process (JSEP). He established externally funded research programs in collaboration with Defence Canada, Safety Canada, NSERC, MITACS, industrial partners, and foreign universities.
Dr. Schallum Pierre is a EDI, Ethics and Innovation Advisor within Institute Intelligence and Data (IID) at Universite Laval and a part-time professor in social communications at Saint Paul University. He contributes to the implementation of ethics by design in AI research projects and in data valorization at the IID. As an innovation advisor, he accompanies public and private organizations in R&D projects and in the National Research Council of Canada Industrial Research Assistance Program (NRC-IRAP) at Universite Laval. His rich and varied experience in responsible entrepreneurship is put to use in collaborations with the socio-economic milieu of the greater Quebec City area in knowledge and technology transfer related to AI and data valorization.
As a researcher, Schallum is interested in ethical issues related to AI and Blockchain. His research interests include the issue of protecting sensitive data in the healthcare, social media and mobile payment sectors. He holds a PhD in philosophy from Universite Laval and he completed a postdoctoral fellowship at Polytechnique Montreal.
He is a member of the International Association of Privacy Professionals; the Ethics Committee of the CHU de Quebec - Universite Laval; the Open Government Committee of Quebec; and the editorial board of the journal Technologie et innovation.
Previously, he was Researcher at the Computer Research Institute of Montreal, an Adjunct Professor at Concordia University of Edmonton, and a postdoctoral research fellow at Queen's University and Polytechnique Montreal.
Dr. Fehmi Jaafar received his PhD from the Department of Computer Science at Montreal University, Canada. He is interested in cybersecurity in the Internet of Things, in the analysis and the improvement of the security and quality of software systems, and in the application of machine learning techniques in cybersecurity.
His research has been published in top venues in computer sciences, including the Journal of Empirical Software Engineering (EMSE) and the Journal of Software: Evolution and Process (JSEP). He established externally funded research programs in collaboration with Defence Canada, Safety Canada, NSERC, MITACS, industrial partners, and foreign universities.
Dr. Schallum Pierre is a EDI, Ethics and Innovation Advisor within Institute Intelligence and Data (IID) at Universite Laval and a part-time professor in social communications at Saint Paul University. He contributes to the implementation of ethics by design in AI research projects and in data valorization at the IID. As an innovation advisor, he accompanies public and private organizations in R&D projects and in the National Research Council of Canada Industrial Research Assistance Program (NRC-IRAP) at Universite Laval. His rich and varied experience in responsible entrepreneurship is put to use in collaborations with the socio-economic milieu of the greater Quebec City area in knowledge and technology transfer related to AI and data valorization.
As a researcher, Schallum is interested in ethical issues related to AI and Blockchain. His research interests include the issue of protecting sensitive data in the healthcare, social media and mobile payment sectors. He holds a PhD in philosophy from Universite Laval and he completed a postdoctoral fellowship at Polytechnique Montreal.
He is a member of the International Association of Privacy Professionals; the Ethics Committee of the CHU de Quebec - Universite Laval; the Open Government Committee of Quebec; and the editorial board of the journal Technologie et innovation.
Content
Section I Digital Identity Era. 1. Demystifying the Digital Identity Challenges and the Blockchain Role. 2. Blockchain for Digital Identity. Section II Privacy Dilemma. 3. Security and Corporate Violation to Privacy in the Internet Of Things Age. 4. Security, Privacy and Blockchain in Financial Technology. Section III Sensitive Data Challenges. 5. Where Does the Novel Legal Framework for AI in Canada Stand against the Emerging Trend of Online Test Proctoring? 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. 7 - Cyber Influence Stakes. Postface.