Expert Systems, Applications and Security

Proceedings of NICE-TEAS ASIA 2025, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-26926-3
Verlag: Springer

Buch, Englisch, 470 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Algorithms for Intelligent Systems

This book presents selected papers from the First Networking International Conference on Emerging Trends in Expert Applications and Security (NICE-TEAS 2025), held during October 29–30, 2025, at Banking Academy of Vietnam, Hanoi, Vietnam. The book is divided into two volumes and discusses latest research outcomes in the field of computer system security using cryptographic algorithms and other security applications.

Zielgruppe

Research

Autoren/Hrsg.

Rathore, Vijay Singh

Duc, Phan Thanh

Doan, Truong Cong

Pilli, Emmanuel shubhakar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

A Hybrid Deep Feature Score Fusion Framework for Robust Multi Modal Biometric Authentication.- A Comparative Analysis of Cascaded H Bridge and Switched Capacitor Multilevel Inverters for High Efficiency Power Conversion.- Decentralized Ledger Systems for DataIntegrity A Comparative Study with Feedback Mechanisms.- Anomaly Detection in Backup Data on Cloud.- Leveraging Artificial Intelligence and Machine Learning  in Modern Agriculture Applications and Impact.

Über Autor(innen)

Prof. Vijay Singh Rathore is a distinguished academician, researcher, and administrator with over 22 years of experience in technical education, research, and institutional leadership. He currently serves as Professor of Computer Science & Engineering and Director of Research & International Relations at IES University, Bhopal, and holds the position of Membership Chair of the ACM Professional Chapter, Jaipur and Director, KK Consultancy Services, Jaipur. Dr. Rathore holds a Ph.D. in Computer Science and multiple postgraduate degrees, including an MBA. His expertise spans Cloud Computing, IoT, Cybersecurity, and emerging computing trends. He has supervised 25 Ph.D. scholars and authored 10 books in the fields of Computer Science and Management. A prolific researcher, Dr. Rathore has published 97 research papers (58+ Scopus-indexed), and his academic influence is reflected in his Google Scholar h-index of 11. He also holds four patents, including innovations in IoT and blockchain-based systems.

Dr. Phan Thanh Duc is Dean of Faculty of Information Technology & Digital Economics, Banking Academy of Vietnam. He earned his M.Sc. degree in Computer Science & Information Management from Asian Institute of Technology, Thailand and Ph.D. degree in Management Information Systems from the Vietnam National University of Economics. He has taught and conducted research in the fields of information technology and information systems for more than 25 years. His areas of interest include data management, enterprise architecture, big data, business process management, and more. He is the project manager for numerous information systems development projects in the corporate, higher education, and financial services industry.

Dr. Truong Cong Doan is in charge of the Management Information System program, International School, Vietnam National University, Hanoi, Vietnam. He earned his M.Sc. degree in Computer Science from the Military Technical Academy, Hanoi, Vietnam, and his Ph.D. degree in Computer Engineering from the University of Ulsan, Ulsan City, The Republic of Korea. He has taught and conducted research in the fields of data science, artificial intelligence, and management information systems for more than 15 years. He is the head of the research group applying data science in finance and management. His research interests are in applying artificial intelligence and data science to solve problems in finance, marketing, and management. He has published many prestigious articles in international conferences and specialized journals related to data science and artificial intelligence.

Dr. Emmanuel Shubhakar Pilli is Associate Professor in the Department of Computer Science of Engineering in Malaviya National Institute of Technology, Jaipur since May 2018. He has completed his M. Tech (Computer Science) from Birla Institute of Technology Ranchi in 2001 and PhD (Computer Science) from the Indian Institute of Technology, Roorkee for his thesis on "A Framework for Network Forensic Analysis" in 2012. He has been awarded the ISEA Fellowship by the Department of Information Technology, Govt. of India, for his research in Information Security. He has more than 27 years of teaching, research and administrative experience.