Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
Herausgeber: Jaafar, Fehmi; Pierre, Schallum
Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
Herausgeber: Jaafar, Fehmi; Pierre, Schallum
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In the different chapters of this book, we explored the main domains that represent considerable risks for the respect of privacy, such as education, health, finance or social media.
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In the different chapters of this book, we explored the main domains that represent considerable risks for the respect of privacy, such as education, health, finance or social media.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 183
- Erscheinungstermin: 17. Oktober 2023
- Englisch
- Abmessung: 160mm x 242mm x 18mm
- Gewicht: 448g
- ISBN-13: 9781032130989
- ISBN-10: 1032130989
- Artikelnr.: 68101485
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 183
- Erscheinungstermin: 17. Oktober 2023
- Englisch
- Abmessung: 160mm x 242mm x 18mm
- Gewicht: 448g
- ISBN-13: 9781032130989
- ISBN-10: 1032130989
- Artikelnr.: 68101485
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 Université 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 Université 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 Université Laval and he completed a postdoctoral fellowship at Polytechnique Montréal. He is a member of the International Association of Privacy Professionals; the Ethics Committee of the CHU de Québec - Université Laval; the Open Government Committee of Quebec; and the editorial board of the journal Technologie et innovation.
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.
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.
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.
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.