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Wireless Networks

Security and Privacy for Mobile Healthcare Networks

Authors: Zhang, Kuan, Shen, Xuemin Sherman

  • Proposes a mobile healthcare network which enables efficient and secure health information collection, sharing and processing
  • Addresses the privacy leakage issue when health data are processed in an untrusted cloud server under MHN architecture
  • Investigates attribute based control access, semi-supervised learning with hidden Markov model, and cryptographic schemes
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eBook $69.99
price for USA (gross)
  • ISBN 978-3-319-24717-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA
  • ISBN 978-3-319-24715-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book examines state-of-art research on designing healthcare applications with the consideration of security and privacy. It explains the Mobile Healthcare Network (MHN) architecture and its diverse applications, and reviews the existing works on security and privacy for MHNs. Critical future challenges and research problems are also identified.

Using a Quality-of-Protection perspective, the authors provide valuable insights on security and privacy preservation for MHNs. Some promising solutions are proposed to accommodate the issues of secure health data transmission, misbehavior detection, health data processing with privacy preservation and access control in MHNs. Specifically, the secure health data aggregation explores social spots to help forward health data and enable users to select the optimal relay according to their social ties and health data priority. The secure aggregation achieves the desirable delivery ratio with reasonable communication costs and lower delay for the data in different priorities.

A proposed misbehavior detection scheme distinguishes Sybil attackers from normal users by comparing their mobile contacts and pseudonym changing behaviors. The detection accuracy is high enough to resist various Sybil attacks including forgery. In addition, the health data processing scheme can analyze the encrypted health data and preserve user’s privacy at the same time. Attribute based access control can achieve fine-grained acces

s control with user-defined access policy in MHNs.

Security and Privacy for Mobile Healthcare Networks is designed for researchers and advanced-level students interested in healthcare security and secure data transmission.



Table of contents (7 chapters)

  • Introduction

    Zhang, Kuan (et al.)

    Pages 1-9

  • Security and Privacy Challenges in MHN

    Zhang, Kuan (et al.)

    Pages 11-20

  • Secure Health Data Collection in MHN

    Zhang, Kuan (et al.)

    Pages 21-45

  • Health Data Sharing with Misbehavior Detection

    Zhang, Kuan (et al.)

    Pages 47-80

  • Privacy-Preserving Health Data Processing

    Zhang, Kuan (et al.)

    Pages 81-98

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-3-319-24717-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA
  • ISBN 978-3-319-24715-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Security and Privacy for Mobile Healthcare Networks
Authors
Series Title
Wireless Networks
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-24717-5
DOI
10.1007/978-3-319-24717-5
Hardcover ISBN
978-3-319-24715-1
Series ISSN
2366-1186
Edition Number
1
Number of Pages
XIV, 118
Topics