Dr Sriramulu Bojjagani, Dr Dinesh Reddy Vemula, and Dr Sumalatha Saletti have jointly contributed to the book Privacy and Security in FinTech, Healthcare, and Social Applications, published under the Routledge, Taylor & Francis Group imprint. The volume offers a comprehensive review of secure protocols, algorithms, security models, and infrastructure for the Internet of Things (IoT), tracing developments from past to emerging future trends. It highlights state-of-the-art authentication and privacy-preservation mechanisms for Industry 4.0–driven FinTech systems, alongside blockchain-enabled security enhancements across IoT, Internet of Vehicles (IoV), and Internet of Medical Things (IoMT) applications. With practical examples and real-world use cases, the book addresses the growing need for robust information security frameworks and authentication schemes to safeguard data, systems, and user privacy in increasingly connected technological ecosystems.
Brief Abstract:
This book provides a timely and comprehensive overview on the cybersecurity challenges in our increasingly connected digital world. With billions of devices projected to be online by 2030, there is an urgent need for secure communication, data protection, and privacy across critical sectors. Structured into four key sections—blockchain for healthcare and vehicular systems; secure protocols for medical images; privacy in FinTech; and privacy-preserving federated learning—the book presents state-of-the-art research and practical solutions. Topics include blockchain integration in IoMT and IoV, lightweight cryptographic algorithms, secure image transmission for ASD diagnosis, and DNA-RSA-based encryption for medical data. Further, this book presents innovations like FLEX-HAND for secure vehicle handovers, quantum homomorphic encryption for real-time fraud detection, and AI-driven fraud analytics. Advanced biometric systems using fingerprint and iris data are explored, along with federated learning models that protect user data in healthcare applications like heart disease and diabetic retinopathy detection.
Collaborations:
International Collaborations (Country-wise)
The book chapters demonstrate strong multi-institutional and cross-country collaboration, involving contributors from the following countries:
- India
The majority of the chapters are authored by researchers from premier Indian institutions such as SRM AP University, NIT Warangal, NIT Jamshedpur, Thapar Institute of Engineering & Technology, and other reputed universities and research organizations. - United States of America (USA)
Collaboration includes researchers affiliated with the University of North Texas (UNT), contributing notably to research on cybersecurity, IoT, and federated learning. - United Kingdom (UK)
Contributors from Sheffield Hallam University (SHU) have participated in research focusing on medical image security and data privacy. - Saudi Arabia
Researchers affiliated with Majmaah University have contributed to chapters related to privacy-preserving learning and healthcare analytics. - Indonesia
International collaboration includes contributors from Universitas Ahmad Dahlan (UAD), Indonesia, particularly in biometric authentication and privacy-preserving systems.
These collaborations strengthen the global relevance of the book by integrating diverse perspectives, datasets, and application domains.
Notable Co-Authors and Major Contributors
Across the chapters, several authors have played key roles as lead or senior contributors, including (but not limited to):
- Dr Saraju P. Mohanty (USA) – Significant contributions to IoT security and smart city research.
- Dr Shaik Shakeel Ahamad (Saudi Arabia) – Contributions to privacy-preserving federated learning frameworks.
- Dr Rusydi Umar (Indonesia) – Contributions in biometric authentication and cryptographic security.
- Dr Sandhya Mulagala (NIT Warangal, India) – Contributions in biometric authentication and cryptographic security.
- Senior faculty from NITs, SRM AP University, and Thapar Institute of Engineering & Technology (India) – Providing academic leadership, supervision, and technical depth across multiple chapters.
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