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Security and Privacy for Mobile Healthcare Networks

53,49 €*

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Produktnummer: 189ded42e0df5d4221aabd7c458f65261d
Autor: Shen, Xuemin (Sherman) Zhang, Kuan
Themengebiete: Mobile healthcare networks Sybil detection aggregation security and privacy social behavior
Veröffentlichungsdatum: 18.11.2015
EAN: 9783319247151
Sprache: Englisch
Seitenzahl: 118
Produktart: Gebunden
Verlag: Springer International Publishing
Produktinformationen "Security and Privacy for Mobile Healthcare Networks"
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 access 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.

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