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Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)

ISBN-13: 9798369321096 / Angielski / Twarda / 2024 / 448 str.

Ahdi Hassan, Pronaya Bhattacharya, Subrata Tikadar
 - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)

ISBN-13: 9798369321096 / Angielski / Twarda / 2024 / 448 str.

Ahdi Hassan, Pronaya Bhattacharya, Subrata Tikadar
cena 1930,57 zł
(netto: 1838,64 VAT:  5%)

Najniższa cena z 30 dni: 1910,83 zł
Termin realizacji zamówienia:
ok. 30 dni roboczych
Bez gwarancji dostawy przed świętami

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inne wydania

In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge— the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT. This impressive research book calls a diverse audience, including researchers in IoMT and healthcare informatics, healthcare professionals, students, IT professionals, policymakers, software developers, data scientists, cybersecurity professionals, technology consultants, and academics. By catering to this broad spectrum, the book acts as a unifying resource, ensuring that stakeholders across the healthcare sector possess the requisite understanding to navigate the intricate intersection of technology, security, and patient well-being.

In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge— the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT. This impressive research book calls a diverse audience, including researchers in IoMT and healthcare informatics, healthcare professionals, students, IT professionals, policymakers, software developers, data scientists, cybersecurity professionals, technology consultants, and academics. By catering to this broad spectrum, the book acts as a unifying resource, ensuring that stakeholders across the healthcare sector possess the requisite understanding to navigate the intricate intersection of technology, security, and patient well-being.

Kategorie:
Nauka, Medycyna
Wydawca:
IGI Global
Język:
Angielski
ISBN-13:
9798369321096
Rok wydania:
2024
Ilość stron:
448
Waga:
0.27 kg
Wymiary:
27.9x21.6
Oprawa:
Twarda
Dodatkowe informacje:
Bibliografia


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