Handbook of Security, Quantum Computing and Internet of Things (IoT)

1. Auflage 2026
ISBN: 978-1-032-94701-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm

The Handbook of Security, Quantum Computing, and Internet of Things explores the critical intersection of IoT, security, and quantum technologies. As IoT devices multiply, ensuring robust protection has become urgent. The book begins with IoT security standards, highlighting vulnerabilities and strategies like SQL Injection Defence (SQLi-DS). It addresses architectural challenges and stresses adaptive frameworks to withstand evolving cyber threats. The role of AI and ML in strengthening IoT security is emphasized, including hybrid ML-based attack prevention and IP reputation validation in isolated networks. Practical applications, such as secure BLE transmission for wearables, illustrate real-world impacts. A detailed examination of IoT components and vulnerabilities provides actionable guidance for risk mitigation. The handbook also introduces quantum cryptography, presenting future-ready methods for safeguarding data. This resource equips researchers, professionals, and students with knowledge to advance IoT security and harness quantum innovations in a rapidly evolving digital landscape.

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Bijalwan, Anchit

Jain, Usha

Sayal, Anu

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit

Inhaltsverzeichnis

Internet of Things (IoT) - a security review. 2. SQL injection defence strategy (SQLi-DS) in legacy & modern web applications to enhance cybersecurity in IoT & AI era. 3. IoT architecture and security challenges. 4. Significance of ai and machine learning in scalable IoT applications. 5. Hybrid machine learning-driven cyber attack prevention for suspicious IP reputation validation in geographically isolated VPN tunnelled IoT networks. 6. Detailed analysis of IoT system components and their vulnerabilities. 7. IoT security and standard. 8. Design and implementation of an intelligent automobile congestion monitoring system with the fusion of IoT technology. 9. Implementing secure BLE signal transmission through antenna design techniques in wearable IoT devices. 10. Introduction to quantum-cryptography. 11. Index.

Über Autor(innen)

Usha Jain is an Assistant Professor in the Department of Computer Science and Engineering at Manipal University Jaipur. She holds a Ph.D. in Computer Science and Engineering from the Central University of Rajasthan, Ajmer (2021), an M.Tech. in Systems Management-IT from Devi Ahilya Vishwavidyalaya, Indore (2014), and a B.Tech. in Computer Engineering from Rajasthan Technical University, Kota (2011). With extensive teaching and research experience, Dr. Jain specializes in Network Security, IoT, Wireless Sensor Networks, and Cyber Security. She has published widely in reputed SCI and Scopus-indexed journals and conferences, and her work has been recognized with multiple Best Paper Awards. She also holds a national patent in the field of smart vehicle safety.

Actively involved in the academic community, she serves as a reviewer, session chair, and conference organizer. Her current research interests include IoT security, authentication mechanisms, and emerging areas in secure computing.

Anu Sayal is a Senior Lecturer in Mathematics/Statistics at Taylor’s University, Malaysia. With over 16 years of teaching and research experience, she holds a PhD in Mathematics from Uttarakhand Technical University. She has received multiple awards, including the Young Scientist Award and Teacher of the Year. Dr. Sayal has published extensively in reputed journals and serves as a reviewer and editorial board member for international journals. Her research interests include Fuzzy Mathematics and Supply Chain Management. As the coordinator of Uttaranchal University’s innovation center, she significantly contributed to fostering entrepreneurship and supporting student startups.

Anchit Bijalwan is the IEEE R10 ACEI lead ambassador for Vietnam and distinguished academician, researcher, consultant, and trainer specializing in advanced technologies and pedagogy for a diverse range of researchers and educators in higher education. Currently, he serves as an Associate Professor and leads the Computing, Games, and Data Science Academic Research Cluster (CGDS ARC) at British University Vietnam.With a robust track record in research and community service, Dr. Anchit has successfully completed numerous projects that bridge the gap between academia and real-world application. He is the author of two influential books, “Advanced Java Programming” and “Network Forensics: The Privacy and Security” and has edited eight additional volumes. His prolific contributions to his field include patents, over fifty research papers published in esteemed, high-index international journals and conferences, with a keen focus on Privacy and Security in cyber forensics.

He is a dynamic presence at international workshops and conferences, where he has delivered keynote addresses in countries such as the UK, Germany, Spain, El Salvador, Vietnam, and India. He is a proud member of the Association for Computing Machinery (ACM) and a senior member of IEEE (Vietnam). In recognition of his outstanding contributions, Anchit received the ‘International Research Award’ from the International Research Association in London, UK, in 2021 for his book and research project endeavors. He was also honored with the Vice-Chancellor Best Researcher Award by British University in 2023 and Dean’s Research Excellence Award in 2024.