Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
by: Fehmi Jaafar (Editor), Schallum Pierre (Editor)
Publisher finelybook 出版社: CRC Press; (October 17, 2023)
Language 语言: English
Print Length 页数: 196 pages
ISBN-10: 1032130989
ISBN-13: 9781032130989
Book Description
By finelybook
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.
About the Author
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.Amazon page
