Big Data Privacy and Security in Smart Cities
(Sprache: Englisch)
This book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security....
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Klappentext zu „Big Data Privacy and Security in Smart Cities “
This book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people.
This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.
Inhaltsverzeichnis zu „Big Data Privacy and Security in Smart Cities “
1. Introduction.- 2. Deep Digital Identity for Big Data Privacy and Security.- 3. Behavioral Biometrics for Security in Smart Cities.- 4. Identity Spoofing and Cyber Attacks.- 5. Intrusion Detection via Deep Learning.- 6. Biometric Blockchain in e-Governance.- 7. e-Voting and Transparent Democracy.- 8. Secured e-Trading with Blockchain.- 9. Healthcare Biometric Blockchain.- 10. Medical Data and Security.- 11. Digital Passport.- 12. Social Smart Cities.- 13. Forensics and Legislation.- 14. Soft Border Control with Digital IDs.
Autoren-Porträt
Dr. Richard Jiang is a Senior Lecturer (Associate Professor) in the School of Computing & Communications at Lancaster University, UK. He is a Fellow of HEA and a Member of EPSRC College, and served as an invited Expert and Panel Member on EPSRC panels. His research interest mainly resides in the fields of Biometrics, AI Ethics, Private Learning, Quantum AI, Neuronal Computation, AI-Automated Healthcare, Satellite/Aerial Image Analysis and Biodiversity. Dr Jiang's recent research has been supported by grants from EPSRC (EP/P009727/1), Leverhulme Trust (RF-2019-492), Qatar Science Foundation (NPRP No.8-140-2-065) and other industry/international funders. He has supervised and co-supervised 20 PhD students. He authored over 100 refereed publications and was the editor of a number of books and special issues. He has served as a PC/Editorial member and a reviewer for various international conferences and research journals.
Professor Ahmed Bouridane received the 'Ingenieur d'État' degree in electronics from Ecole Nationale Polytechnque of Algiers (ENPA), Algeria, in 1982, the M.Phil. degree in electrical engineering (VLSI design for signal processing) from the University of Newcastle-Upon-Tyne, UK, in 1988, and the Ph.D. degree in electrical engineering (computer vision) from the University of Nottingham, UK, in 1992. From 1992 to 1994, he worked as Research Developer in telesurveillance and access control applications. In 1994, he joined Queen's University Belfast, Belfast, UK, initially as Lecturer in computer architecture and image processing and then as Reader in computer science. He became Professor in Image Engineering and Security at Northumbria University at Newcastle (UK) in 2009. He is currently the director of Centre for Data Analytics and Cybersecurity, University of Sharjah, United Arab Emirates. His research interests are in imaging for forensics and security, biometrics, homeland security, image/video watermarking, and cryptography. He has authored
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and co-authored more than 200 publications.
Professor Chang-Tsun Li received a BSc degree in electrical engineering from National Defense University, Taiwan, the MSc degree in computer science from U.S. Naval Postgraduate School, USA, and the PhD degree in computer science from the University of Warwick, UK. He is currently Professor of Cyber Security at Deakin University and Director of Research of Deakin's Cyber Security Research and Innovation Centre (CSRI). He has had over 20 years of research experience in multimedia forensics and security, biometrics, machine learning, data analytics, computer vision, image processing, pattern recognition, bioinformatics and content-based image retrieval. The outcomes of his research have been translated intoaward-winning commercial products protected by a series of international patents and have been used by a number of law enforcement agencies, national security institutions and companies around the world, including INTERPOL (Lyon, France), UK Home Office, Metropolitan Police Service (UK), Sussex Police Service (UK), Guildford Crown Court (UK), and US Department of Homeland Security. In addition to his active contribution to the advancement of his field of research through publication, Chang-Tsun Li is also enthusiastically serving the international cyber security community. He is currently Vice Chair of Computational Forensics Technical Committee of the International Association of Pattern Recognition (IAPR), Member of IEEE Information Forensics and Security Technical Committee, Associate Editor of IEEE Access, the EURASIP Journal of Image and Video Processing and IET Biometrics. In the past 8 years, Chang-Tsun has been activein
Professor Chang-Tsun Li received a BSc degree in electrical engineering from National Defense University, Taiwan, the MSc degree in computer science from U.S. Naval Postgraduate School, USA, and the PhD degree in computer science from the University of Warwick, UK. He is currently Professor of Cyber Security at Deakin University and Director of Research of Deakin's Cyber Security Research and Innovation Centre (CSRI). He has had over 20 years of research experience in multimedia forensics and security, biometrics, machine learning, data analytics, computer vision, image processing, pattern recognition, bioinformatics and content-based image retrieval. The outcomes of his research have been translated intoaward-winning commercial products protected by a series of international patents and have been used by a number of law enforcement agencies, national security institutions and companies around the world, including INTERPOL (Lyon, France), UK Home Office, Metropolitan Police Service (UK), Sussex Police Service (UK), Guildford Crown Court (UK), and US Department of Homeland Security. In addition to his active contribution to the advancement of his field of research through publication, Chang-Tsun Li is also enthusiastically serving the international cyber security community. He is currently Vice Chair of Computational Forensics Technical Committee of the International Association of Pattern Recognition (IAPR), Member of IEEE Information Forensics and Security Technical Committee, Associate Editor of IEEE Access, the EURASIP Journal of Image and Video Processing and IET Biometrics. In the past 8 years, Chang-Tsun has been activein
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Bibliographische Angaben
- 2023, 1st ed. 2022, VI, 248 Seiten, 65 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Richard Jiang, Ahmed Bouridane, Chang-Tsun Li, Danny Crookes, Said Boussakta, Feng Hao, Eran A. Edirisinghe
- Verlag: Springer, Berlin
- ISBN-10: 3031044266
- ISBN-13: 9783031044267
Sprache:
Englisch
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