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Biometric Security and Privacy - Opportunities & Challenges in The Big Data Era (Hardcover, 1st ed. 2017): Richard Jiang,... Biometric Security and Privacy - Opportunities & Challenges in The Big Data Era (Hardcover, 1st ed. 2017)
Richard Jiang, Somaya Al-Maadeed, Ahmed Bouridane, Prof. Danny Crookes, Azeddine Beghdadi
R4,914 Discovery Miles 49 140 Ships in 12 - 17 working days

This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.

Imaging for Forensics and Security - From Theory to Practice (Hardcover, 2009 ed.): Ahmed Bouridane Imaging for Forensics and Security - From Theory to Practice (Hardcover, 2009 ed.)
Ahmed Bouridane
R2,799 Discovery Miles 27 990 Ships in 10 - 15 working days

Imaging for Forensics and Security: From Theory to Practice provides a detailed analysis of new imaging and pattern recognition techniques for the understanding and deployment of biometrics and forensic techniques as practical solutions to increase security. It contains a collection of the recent advances in the technology ranging from theory, design, and implementation to performance evaluation of biometric and forensic systems. This book also contains new methods such as the multiscale approach, directional filter bank, and wavelet maxima for the development of practical solutions to biometric problems.

The book introduces a new forensic system based on shoeprint imagery with advanced techniques for use in forensics applications. It also presents the concept of protecting the originality of biometric images stored in databases against intentional and unintentional attacks and fraud detection data in order to further increase the security.

Biometric Security and Privacy - Opportunities & Challenges in The Big Data Era (Paperback, Softcover reprint of the original... Biometric Security and Privacy - Opportunities & Challenges in The Big Data Era (Paperback, Softcover reprint of the original 1st ed. 2017)
Richard Jiang, Somaya Al-Maadeed, Ahmed Bouridane, Prof. Danny Crookes, Azeddine Beghdadi
R4,268 Discovery Miles 42 680 Ships in 10 - 15 working days

This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.

Big Data Privacy and Security in Smart Cities (Hardcover, 1st ed. 2022): Richard Jiang, Ahmed Bouridane, Chang-Tsun Li, Danny... Big Data Privacy and Security in Smart Cities (Hardcover, 1st ed. 2022)
Richard Jiang, Ahmed Bouridane, Chang-Tsun Li, Danny Crookes, Said Boussakta, …
R2,504 Discovery Miles 25 040 Ships in 12 - 17 working days

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.

Imaging for Forensics and Security - From Theory to Practice (Paperback, 2009 ed.): Ahmed Bouridane Imaging for Forensics and Security - From Theory to Practice (Paperback, 2009 ed.)
Ahmed Bouridane
R2,770 Discovery Miles 27 700 Ships in 10 - 15 working days

Imaging for Forensics and Security: From Theory to Practice provides a detailed analysis of new imaging and pattern recognition techniques for the understanding and deployment of biometrics and forensic techniques as practical solutions to increase security. It contains a collection of the recent advances in the technology ranging from theory, design, and implementation to performance evaluation of biometric and forensic systems. This book also contains new methods such as the multiscale approach, directional filter bank, and wavelet maxima for the development of practical solutions to biometric problems.

The book introduces a new forensic system based on shoeprint imagery with advanced techniques for use in forensics applications. It also presents the concept of protecting the originality of biometric images stored in databases against intentional and unintentional attacks and fraud detection data in order to further increase the security.

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