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.

Includes new advances on the topic of smart cities, such as deep learning, biometrics, block chain, e-governance Reports new advances on a tantalizing topic, privacy versus security Addresses new challenges arising from big data and low-quality data

Auteur

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.80-25) 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 dtat 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 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 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 into award-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 active in facilitating the cross-fertilisation of multimedia forensics and biometrics through his leadership in a number of multinational projects. Professor Danny Crookes is an emeritus professor in Computer Science, Queens University Belfast, UK. He was appointed to the Chair of Computer Engineering in 1993 at Queens University Belfast, and was Head of Computer Science from 1993 to 2002. He was Director of Research for Speech, Image and Vision Systems at the Institute for Electronics, Communications and Information Technology (ECIT) at Queens University Belfast before he retired in 2017. His current research interests include the use of novel architectures (especially GPUs) for high-performance image processing. He has applied expertise in language design, optimizing compilers and software generators, plus software tools for hardware description and architecture generation, to the goal of developing high level software tools to enable rapid development of real-time video processing systems. He has published over 200 scientific papers in journals and international conferences, and has presented tutorials on parallel image processing at several international conferences. Said Boussakta is Professor of Communications and Signal Processing at the ISC Group in the School of Engineering at Newcastle University. He has over 27 year research experience in digital signal processing and communications. His major research contributions are in the areas of fast transforms and algorithms for communication and signal processing applications, encryption techniques, and bio-inspired technologies 1. He has received funding EPSRC (GR/M42060/01, GR/S98160/01, GR/S08160/02, EP/H004637), MOD (2043/097), EU (Co-Health) and industry (e.g. Schlumberger and BTL Medical). He has published over 200 articles and is currently supervising a large number of research projects. More recently he has led work on encryption, communications, and e-Health. He is a member of EPSRC Peer Review College, the chair, and technical committee member of international conferences, e.g. ICC, Senior Member of IEEE and Fellow of the IET. Prof. S. Boussakta has over 16 years research experience in digital signal and image processing, fast transforms and algorithms, DSP and communications, including six years as Senior Research Associate.  His major research interests are in the areas of fast transforms and algorithms for DSP and multidimensional signal processing applications, encryption techniques, digital signal processing and communications techniques and systems. He has successfully introduced and developed many new algorithms and transforms [1-8]. His research experience has been through projects supported by industry (Schlumberger, BTL Medical, HW Communications etc..), EPSRC GR/M42060/01 and   GR/M42060/02A Novel Hybrid Parallel Method for Digital Image and Multidimensional Signal Processing Applications, EPSRC GR/S98160/01 and G…