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020 ▼a 9781003227656 ▼q electronic book
020 ▼a 1003227651 ▼q electronic book
020 ▼a 9781000930771 ▼q electronic book ▼q EPUB
020 ▼a 1000930777 ▼q electronic book ▼q EPUB
020 ▼a 1000930718 ▼q electronic book ▼q electronic book
020 ▼a 9781000930719 ▼q electronic book
020 ▼z 9781032130989
020 ▼z 1032130989
0247 ▼a 10.1201/9781003227656 ▼2 doi
035 ▼a 3675193 ▼b (N$T)
035 ▼a (OCoLC)1398230331
037 ▼a 9781003227656 ▼b Taylor & Francis
040 ▼a TYFRS ▼b eng ▼e rda ▼e pn ▼c TYFRS ▼d TYFRS ▼d OCLCO ▼d N$T ▼d UKAHL ▼d YDX ▼d 248032
049 ▼a MAIN
050 4 ▼a QA76.9.A25 ▼b B56 2024
072 7 ▼a TEC ▼x 007000 ▼2 bisacsh
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08204 ▼a 005.8 ▼2 23
24500 ▼a Blockchain and artificial intelligence-based solution to enhance the privacy in digital identity and IoT / ▼c edited by Fehmi Jaafar and Schallum Pierre.
250 ▼a First edition.
264 1 ▼a Boca Raton, FL : ▼b CRC Press, ▼c 2024.
264 4 ▼c 짤2024
300 ▼a 1 online resource (184 pages) : ▼b illustrations (black and white).
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
520 ▼a 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 relationto the compliance and governance of personnel data in order to eliminate privacy and security risks.
5450 ▼a 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 Montre?al. He is a member of the International Association of Privacy Professionals; the Ethics Committee of the CHU de Que?bec - Universite? Laval; the Open Government Committee of Quebec; and the editorial board of the journal Technologie et innovation.
588 ▼a Description based on online resource; title from digital title page (viewed on December 01, 2023).
590 ▼a WorldCat record variable field(s) change: 050
650 0 ▼a Computer security.
650 0 ▼a Blockchains (Databases)
650 0 ▼a Artificial intelligence.
650 0 ▼a Privacy, Right of.
650 6 ▼a Se?curite? informatique.
650 6 ▼a Chai?nes de blocs.
650 6 ▼a Intelligence artificielle.
650 7 ▼a artificial intelligence. ▼2 aat
650 7 ▼a TECHNOLOGY / Electricity ▼2 bisacsh
7001 ▼a Jaafar, Fehmi, ▼e editor.
7001 ▼a Pierre, Schallum, ▼d 1977-, ▼e editor. ▼1 https://isni.org/isni/0000000140103766
77608 ▼i Print version: ▼t Blockchain and artificial intelligence-based solution to enhance the privacy in digital identity and IoT. ▼d Boca Raton : CRC Press, 2023 ▼z 9781032130989 ▼w (OCoLC)1393175809
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3675193
938 ▼a EBSCOhost ▼b EBSC ▼n 3675193
990 ▼a 관리자
994 ▼a 92 ▼b N$T