The book explores the intricate nexus between biometric systems and the need for preserving data integrity as well as security needed during the data communication. It offers a systematic and insightful journey through the multifaceted landscape of biometrics, emphasizing the development of resilient systems and the judicious preservation of critical data.
The book starts with introduction to biometric systems, unravelling the intricacies of various authentication methods and technologies. Delving into the principles of robust biometric authentication, the authors elucidate cutting-edge techniques designed to withstand evolving security challenges. It then addresses the pivotal role of data preservation in the context of biometric systems and security system from encryption methodologies that fortify the security of biometric data to innovative approaches in data security and preservation, each chapter delves into the nuanced intricacies of maintaining data integrity. The authors navigate through the challenges associated with biometric data storage and propose solutions that align with contemporary technological advancements. The integration of case studies, practical examples, and real-world applications enhances the reader's understanding, fostering a hands-on approach to the implementation of robust biometric systems. The concluding chapters review the future of biometric systems, exploring emerging trends and potential advancements on the horizon. The book strikes a balance between theoretical concepts and practical considerations, making it an indispensable resource for those seeking a holistic understanding of biometric systems and efficient data preservation.
The content caters to a diverse audience, including researchers, practitioners, and students interested in biometrics, data security, IoT based security system design.
Table of Contents:
Preface. Series Preface. Robust Biometric Systems and Characteristics. Human Biological Traits and Biometric System Design Challenges. Machine Learning and Deep Learning for Person Recognition. Biometric System Based Data Security Analysis Using Fuzzy Machine Learning with Cloud Edge Computing Model. Enhancing Data Communication Security with Advanced Deep Learning Techniques. Security Threats to Cloud Computing and Cloud Services. Network Security Issue and Data Privacy on Online Social-Media. Securing Tomorrow: The Transformative Role of IoT in Smart Security Systems. Role of IoT in Smart Security Systems. Wireless Network Security Analysis in Optimized Data Preservation Modeling Using Machine Learning Algorithm. Preserving Techniques in Big Data: A Comparative Analysis. Investigating Nanorobotics Metamorphosing Healthcare with Manufactured Insights and Efficient Data Preservation. Index.
About the Author :
Dr. Brajesh Kumar Singh has a B. Tech in Electronics and Communication Engineering from Delhi Technological University, New Delhi (Formerly DCE, Delhi University) and, MTech and PhD both from Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi. He is an as Associate Professor in Department of Electronics and Communication Engineering, Galgotias College of Engineering and Technology (GCET), Greater Noida, India. He has more than 14 years of teaching experience and has published several research papers in international journals, international conferences, and has 3 patents in the field of Image processing, Biometrics Systems, Machine Learning, Communication Technology and IoT.
Dr. Amrita Rai has a B. Tech. (Electronics) degree from College of Engineering Chandpur (Nagpur University), a MTech (Power electronics and electrical drives) as university topper from Maharishi Dayanand University, Rohtak and a PhD (Signal Processing) from Thapar University Patiala (previously Thapar Institute of Engineering and Technology), India in 1998, 2007and 2015 respectively. She possesses more than 20 years of experience in teaching, research and administration. She is the Head of Department ECE & EEE and Professor in Lloyd Institute of Engineering & Technology, Greater Noida, India. Her areas of interest are adaptive filter design and signal processing with very large-scale integration implementation, IOT and Sensors for Industrial Applications. She had published several reputed International/SCI papers and attended various IEEE conferences. She has guided more than 20 PG and 100 UG theses and currently guiding two PhD Scholars. She has recently published a book Paradigms of Smart and Intelligent Communication, 5G and Beyond. She has written a book “Principles of VLSI and CMOS Integrated Circuits” and 6 chapters. She is a reviewer of reputed journals and conferences. She has published 13 patent and has grants for 2 more, and delivered expert lectures on smart sensors transform healthcare systems, IoT and sensors and adaptive signal processing in many universities and colleges. She has chaired sessions and delivered invited talks in various international conferences which include “ICCI 2023 Sardar Vallabhbhai National Institute of Technology, Surat, India and CISES-2023 GLBITM, Greater Noida, India” She served as senior member of IEEE Delhi section society and reviewer of many international /SCI journals and conferences.
Dr. Shamimul Qamar is a professor & an eminent scholar in the field of Computer Science & Engineering. He has a B. Tech from MMMTU Gorakhpur, MTech from AMU, Aligarh and a PhD in Computer Science & Engineering from IIT Roorkee with highly honourable grade. Prof. Qamar has extensive teaching experience in various engineering colleges. He has research interests in computer network & multimedia, networking & security, artificial intelligence. He has published several research papers in reputed journals and conferences. He served as consultant at Jackson State university, USA. He is a reviewer of IEEE/Elsevier/MDPI/EUROSIP/ IJCSIS, USA. He has written some textbooks and chapters in the field of electronics & computer engineering. He is also a technical programme committee member in various international conference. He is a life time member of International Association of Engineers and a life member of Indian Society of Technical Educational. His technical depth and interest resulted in setting up a research lab according to latest technical innovations. Along with this, he has actively participated in various technical courses workshops, seminar etc. at the IITS.
Dr. Ravinder Kumar is Chairperson and Associate Professor of Skill Department of Computer Science & Engineering. He did his PhD from USIC&T Guru Gobind Singh Indraprastha University and Indian Institute of Technology Delhi (IITD) jointly under the supervision of Prof. Pravin Chandra and Prof. M Hanmandlu. He has more than 20 years of teaching experience in the field of Computer Science, IT, Electronics etc. He has published 50 research papers in international Journals, 65 international conferences and 15 chapters in edited books in the field of Image processing, Biometrics, Machine Learning, Blockchain, Privacy preservation etc. He has supervised 4 PhDs in the domain of Computer Vision, Multimodal Biometrics, Stock Proce Prediction and Privacy preservation of Electronic Health Record.
Dr. Anil Kumar has a Doctor of Philosophy (PhD) in Computer Science and Engineering from the esteemed GGS IPU Delhi State University, India in School of USIC&T with specialization in Privacy and Security of Electronic Health Record using soft computing techniques. Currently he is working as an Assistant Professor in the department of Computer Science and Engineering in GLBITM, Greater Noida, India. Throughout his career, he has garnered rich experience in both industry and academia. He has nearly 15 years of experience in the field of education and 3.5 years of experience in industry. He has published numerous research SCI/Scopus papers in reputed journals and conferences. His area of interests are PRIVACY and Security, Blockchain, Cloud Computing, Soft Computing and Human Computer Interface. He has published many patents. He is a renowned author of author of Data Mining and Warehouse.
