大葉大學圖書館 |

Security and privacy for mobile healthcare networks[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	610.28
書名/作者:	Security and privacy for mobile healthcare networks/ by Kuan Zhang, Xuemin (Sherman) Shen.
作者:	Zhang, Kuan.
其他作者:	Shen, X.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xiv, 118 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Wireless communication systems in medical care - Security measures.
標題:	Medicine - Databases - Security measures.
標題:	Medical informatics - Security measures.
標題:	Confidential communications.
標題:	Computer Science.
標題:	Computer Communication Networks.
標題:	Systems and Data Security.
標題:	Communications Engineering, Networks.
ISBN:	9783319247175
ISBN:	9783319247151
內容註:	Introduction -- Security and Privacy Challenges in MHN -- Secure Health Data Collection in MHN -- Health Data Sharing with Misbehavior Detection -- Privacy-preserving Health Data Processing -- Access Control for MHN -- Summary and Future Research Directions.
摘要、提要註:	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 attack s 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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-24717-5

Security and privacy for mobile healthcare networks[electronic resource] /
Zhang, Kuan.

Security and privacy for mobile healthcare networks[electronic resource] /by Kuan Zhang, Xuemin (Sherman) Shen. - Cham :Springer International Publishing :2015. - xiv, 118 p. :ill., digital ;24 cm. - Wireless networks. - Wireless networks..

Introduction -- Security and Privacy Challenges in MHN -- Secure Health Data Collection in MHN -- Health Data Sharing with Misbehavior Detection -- Privacy-preserving Health Data Processing -- Access Control for MHN -- Summary and Future Research Directions.

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 attack s 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.

ISBN: 9783319247175

Standard No.: 10.1007/978-3-319-24717-5doiSubjects--Topical Terms:

634925
Wireless communication systems in medical care
--Security measures.

LC Class. No.: R859.7.S43

Dewey Class. No.: 610.28

Security and privacy for mobile healthcare networks[electronic resource] /
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