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Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condizione: New.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Hardcover. Condizione: Brand New. 254 pages. 6.14x0.69x9.21 inches. In Stock.

Hardcover. Condizione: new. Hardcover. 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 urgent need for secure communication, data protection, and privacy across critical sectors. Structured into four key sectionsblockchain for healthcare and vehicular systems; secure protocols for medical images; privacy in FinTech; and privacy-preserving federated learningthe 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.Key Features:Provides a detailed review of Secure protocols, algorithms, models, and Security infrastructure for the Internet of Things from past, present, and future.Presents state-of-the-art security enhancements for Fast authentication and privacy preservation schemes for FinTech Industry 4.0.Blockchain integration in IoT, IoV, and IoMT using handover authentication schemes to maintain security and privacy.Explains the practical examples and applications of these algorithms in real-world situations.Focus on emerging domains in IoV, IoT, and IoMT applications for providing information security, authentication schemes to maintain security and privacy. This book explores cybersecurity and privacy challenges in healthcare, FinTech, and intelligent systems. It covers blockchain-based protocols for IoMT and IoV, lightweight encryption, secure medical image sharing, DNA-RSA, quantum cryptography, AI-driven fraud analytics, and privacy-preserving federated learning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. 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 urgent need for secure communication, data protection, and privacy across critical sectors. Structured into four key sectionsblockchain for healthcare and vehicular systems; secure protocols for medical images; privacy in FinTech; and privacy-preserving federated learningthe 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.Key Features:Provides a detailed review of Secure protocols, algorithms, models, and Security infrastructure for the Internet of Things from past, present, and future.Presents state-of-the-art security enhancements for Fast authentication and privacy preservation schemes for FinTech Industry 4.0.Blockchain integration in IoT, IoV, and IoMT using handover authentication schemes to maintain security and privacy.Explains the practical examples and applications of these algorithms in real-world situations.Focus on emerging domains in IoV, IoT, and IoMT applications for providing information security, authentication schemes to maintain security and privacy. This book explores cybersecurity and privacy challenges in healthcare, FinTech, and intelligent systems. It covers blockchain-based protocols for IoMT and IoV, lightweight encryption, secure medical image sharing, DNA-RSA, quantum cryptography, AI-driven fraud analytics, and privacy-preserving federated learning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Sriramulu Bojjagani (Senior Member, IEEE) received his joint Ph.D. degree from the School of Computer and Information Sciences, University of Hyderabad, and the Institute for Development and Research in Banking Technology (IDRBT), established .

Hardcover. Condizione: new. Hardcover. 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 urgent need for secure communication, data protection, and privacy across critical sectors. Structured into four key sectionsblockchain for healthcare and vehicular systems; secure protocols for medical images; privacy in FinTech; and privacy-preserving federated learningthe 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.Key Features:Provides a detailed review of Secure protocols, algorithms, models, and Security infrastructure for the Internet of Things from past, present, and future.Presents state-of-the-art security enhancements for Fast authentication and privacy preservation schemes for FinTech Industry 4.0.Blockchain integration in IoT, IoV, and IoMT using handover authentication schemes to maintain security and privacy.Explains the practical examples and applications of these algorithms in real-world situations.Focus on emerging domains in IoV, IoT, and IoMT applications for providing information security, authentication schemes to maintain security and privacy. This book explores cybersecurity and privacy challenges in healthcare, FinTech, and intelligent systems. It covers blockchain-based protocols for IoMT and IoV, lightweight encryption, secure medical image sharing, DNA-RSA, quantum cryptography, AI-driven fraud analytics, and privacy-preserving federated learning. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. Privacy and Security in FinTech, Healthcare, and Social Applications | Sriramulu Bojjagani (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041045908 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores cybersecurity and privacy challenges in healthcare, FinTech, and intelligent systems. It covers blockchain-based protocols for IoMT and IoV, lightweight encryption, secure medical image sharing, DNA-RSA, quantum cryptography, AI-driven fraud analytics, and privacy-preserving federated learning.