9781041045908 - privacy and security in fintech, healthcare, and social applications (18 resultados)
Privacy and Security in Fintech, Healthcare, and Social Applications
Bojjagani, Sriramulu (EDT); Reddy, V. Dinesh (EDT); Saleti, Sumalatha (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 180,26
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Privacy and Security in Fintech, Healthcare, and Social Applications
Bojjagani, Sriramulu (EDT); Reddy, V. Dinesh (EDT); Saleti, Sumalatha (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 180,55
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Privacy and Security in Fintech, Healthcare, and Social Applications
Bojjagani, Sriramulu (EDT); Reddy, V. Dinesh (EDT); Saleti, Sumalatha (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 192,02
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 218,14
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Privacy and Security in Fintech, Healthcare, and Social Applications
Bojjagani, Sriramulu (EDT); Reddy, V. Dinesh (EDT); Saleti, Sumalatha (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 219,91
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 217,99
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Privacy And Security In Fintech, Healthcare, And Social Applications
Reddy, V. Dinesh (Editor)/ Bojjagani, Sriramulu (Editor)/ Saleti, Sumalatha (Editor)
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 263,02
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Hardcover. Condición: Brand New. 274 pages. 9.18x6.12x9.21 inches. In Stock.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 199,80
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Hardcover. Condición: 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. St…ructured 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.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 222,41
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Hardcover. Condición: 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. St…ructured 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.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 218,20
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Condición: 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 Te…chnology (IDRBT), established .
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 246,88
Envío por EUR 31,97Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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. St…ructured 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.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 226,15
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Buch. Condición: 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.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 272,00
Envío por EUR 62,91Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: 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.
