Ai And Deep Learning In Biometric Security
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Ai And Deep Learning In Biometric Security
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Author : Gaurav Jaswal
language : en
Publisher: CRC Press
Release Date : 2021-03-21
Ai And Deep Learning In Biometric Security written by Gaurav Jaswal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-21 with Computers categories.
This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security.
Artificial Intelligence For Biometrics And Cybersecurity
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Author : Ahmed A. Abd El-Latif
language : en
Publisher: IET
Release Date : 2023-10-16
Artificial Intelligence For Biometrics And Cybersecurity written by Ahmed A. Abd El-Latif and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-16 with Computers categories.
This book presents cutting-edge research on the use of AI for biometrics and cybersecurity including Machine and Deep Learning architectures, emerging applications and ethical and legal concerns.
Ai Based Advancements In Biometrics And Its Applications
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Author : Balasubramaniam S
language : en
Publisher: CRC Press
Release Date : 2024-11-15
Ai Based Advancements In Biometrics And Its Applications written by Balasubramaniam S and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including machine learning, deep learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics.
Deep Learning For Biometrics
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Author : Bir Bhanu
language : en
Publisher: Springer
Release Date : 2017-08-01
Deep Learning For Biometrics written by Bir Bhanu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.
This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined. Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories. Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.
Decentralized Identity Explained
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Author : Rohan Pinto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-19
Decentralized Identity Explained written by Rohan Pinto and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Computers categories.
Delve into the cutting-edge trends of decentralized identities, blockchains, and other digital identity management technologies and leverage them to craft seamless digital experiences for both your customers and employees Key Features Explore decentralized identities and blockchain technology in depth Gain practical insights for leveraging advanced digital identity management tools, frameworks, and solutions Discover best practices for integrating decentralized identity solutions into existing systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLooking forward to mastering digital identity? This book will help you get to grips with complete frameworks, tools, and strategies for safeguarding personal data, securing online transactions, and ensuring trust in digital interactions in today's cybersecurity landscape. Decentralized Identity Explained delves into the evolution of digital identities, from their historical roots to the present landscape and future trajectories, exploring crucial concepts such as IAM, the significance of trust anchors and sources of truth, and emerging trends such as SSI and DIDs. Additionally, you’ll gain insights into the intricate relationships between trust and risk, the importance of informed consent, and the evolving role of biometrics in enhancing security within distributed identity management systems. Through detailed discussions on protocols, standards, and authentication mechanisms, this book equips you with the knowledge and tools needed to navigate the complexities of digital identity management in both current and future cybersecurity landscapes. By the end of this book, you’ll have a detailed understanding of digital identity management and best practices to implement secure and efficient digital identity frameworks, enhancing both organizational security and user experiences in the digital realm.What you will learn Understand the need for security, privacy, and user-centric methods Get up to speed with the IAM security framework Explore the crucial role of sources of truth in identity data verification Discover best practices for implementing access control lists Gain insights into the fundamentals of informed consent Delve into SSI and understand why it matters Explore identity verification methods such as knowledge-based and biometric Who this book is for This book is for cybersecurity professionals and IAM engineers/architects who want to learn how decentralized identity helps to improve security and privacy and how to leverage it as a trust framework for identity management.
Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24
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Author : S. Kannadhasan
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24 written by S. Kannadhasan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
This is an open access book. The International Conference on Sustainability Innovation in Computing and Engineering is a distinguished event that brings together leading experts, researchers, practitioners, and innovators to explore the transformative role of computing and engineering in advancing sustainable solutions. In today’s world, where environmental challenges are intensifying, the need for technological innovation in addressing sustainability issues has never been more urgent. This conference serves as a dynamic platform for sharing groundbreaking research, showcasing innovative technologies, and fostering cross-disciplinary collaborations to accelerate sustainable development. With a focus on integrating sustainability into the core of computing and engineering practices, this conference will delve into a wide array of topics such as sustainable computing technologies, energy-efficient systems, green engineering practices, and the role of data science in promoting sustainability. It will also highlight the latest advancements in areas like artificial intelligence, smart systems, and digital solutions that contribute to environmental stewardship and social equity. The conference aims to bridge the gap between theoretical research and practical application, empowering participants to develop actionable strategies and innovative solutions that can be deployed in real-world scenarios. By facilitating robust discussions and knowledge exchange, the conference seeks to inspire new ideas, foster collaboration, and catalyze the development of technologies that not only enhance efficiency and performance but also contribute to a more sustainable future. It is an honor to host a gathering of visionary leaders in computing and engineering, whose expertise and insights will guide the global movement toward a greener, more sustainable world.
Breakthroughs In Digital Biometrics And Forensics
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Author : Kevin Daimi
language : en
Publisher: Springer Nature
Release Date : 2022-10-14
Breakthroughs In Digital Biometrics And Forensics written by Kevin Daimi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-14 with Technology & Engineering categories.
This book focuses on a wide range of breakthroughs related to digital biometrics and forensics. The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity specialists and educators for keeping current their biometrics and forensics knowledge. Furthermore, the book provides a glimpse of future directions where biometrics and forensics techniques, policies, applications, and theories are headed. Topics include multimodal biometrics, soft biometrics, mobile biometrics, vehicle biometrics, vehicle forensics, integrity verification of digital content, people identification, biometric-based cybercrime investigation, among others. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse digital biometrics and forensics experts in the listed fields and edited by prominent biometrics and forensics researchers and specialists.
Deep Learning In Biometrics
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Author : Mayank Vatsa
language : en
Publisher: CRC Press
Release Date : 2018-03-05
Deep Learning In Biometrics written by Mayank Vatsa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-05 with Computers categories.
Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research. Contains chapters written by authors who are leading researchers in biometrics. Presents a comprehensive overview on the internal mechanisms of deep learning. Discusses the latest developments in biometric research. Examines future trends in deep learning and biometric research. Provides extensive references at the end of each chapter to enhance further study.
Deep Learning For Biomedical Applications
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Author : Utku Kose
language : en
Publisher: CRC Press
Release Date : 2021-07-19
Deep Learning For Biomedical Applications written by Utku Kose and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-19 with Technology & Engineering categories.
This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.
The Authentication Blueprint Ai Driven Advanced Cybersecurity Authentication Strategies For Banking
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Author : Srinivasulu Harshavardhan Kendyala Dr. Gaurav Raj
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-22
The Authentication Blueprint Ai Driven Advanced Cybersecurity Authentication Strategies For Banking written by Srinivasulu Harshavardhan Kendyala Dr. Gaurav Raj and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.
In the rapidly evolving digital landscape, the financial sector stands at the forefront of technological innovation and cyber threats. The convergence of artificial intelligence (AI) and cybersecurity has revolutionized the way banking institutions protect their assets, information, and customer data. "The Authentication Blueprint: AI Driven Advanced Cybersecurity & Authentication Strategies for Banking," authored by Srinivasulu Harshavardhan Kendyala and Dr. Gaurav Raj, provides a comprehensive and insightful exploration of this critical intersection between AI, cybersecurity, and banking. As banking systems continue to adopt increasingly sophisticated digital solutions, the threat landscape has grown more complex, necessitating advanced strategies to ensure secure authentication processes. In this book, the authors delve deep into the evolving challenges faced by financial institutions in safeguarding sensitive customer information from malicious actors. Through their extensive expertise and research, they offer a blueprint for a new wave of AI-driven authentication methods that promise to reshape the security architecture of the banking sector. By integrating cutting-edge AI technologies such as machine learning, biometrics, and behavioral analytics, this work highlights how these innovations can enhance traditional security mechanisms and provide enhanced, adaptive solutions that respond in real-time to emerging threats. The authors explore the application of these technologies in crafting dynamic, personalized authentication systems that provide both superior security and seamless user experiences. Drawing from real-world case studies and the latest research, this book offers practical insights and actionable strategies for banking professionals, cybersecurity experts, and researchers interested in advancing the future of digital banking security. It serves as a timely resource for anyone looking to understand the complexities of AI in cybersecurity, offering both theoretical depth and practical applications to better navigate the evolving threat landscape. In "The Authentication Blueprint," Kendyala and Raj masterfully outline how AI can not only bolster the security measures already in place but also set the stage for the next generation of banking authentication technologies. This work is a crucial resource for understanding how the future of cybersecurity in banking is being shaped and why it is imperative for institutions to adopt these forward-thinking strategies in their ongoing efforts to protect their assets and customers. Authors