Privacy-Preserving Protocol for Sink Node Location in Telemedicine Networks | Zendy

Ting Li | Zendy; Yuxin Liu | Zendy; Neal N. Xiong | Zendy; Anfeng Liu | Zendy; Zhiping Cai | Zendy; Houbing Song | Zendy

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Privacy-Preserving Protocol for Sink Node Location in Telemedicine Networks

Author(s) -

Ting Li,

Yuxin Liu,

Neal N. Xiong,

Anfeng Liu,

Zhiping Cai,

Houbing Song

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2858274

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Telemedicine is expected to play a significant role in previsioning better service and meeting various needs of patients, healthcare providers, and policy makers by exploiting advanced information and communication technologies. Because health data are highly sensitive, the security and privacy of telemedicine should be protected carefully to protect telemedicine from being potentially interrupted and attacked. In telemedicine networks, the sink node is the most vulnerable to attacks because it is where sensitive data will be collected. Thus, it is of great importance to protect the privacy of the sink node in telemedicine networks. To this end, this paper proposes an efficient privacy-preserving protocol for sink node location in telemedicine networks. Compared with the existing work, the scheme can improve the safe time of telemedicine networks by injecting request packets and reduce the delivery time by transmitting along the shortest route. In particular, the safe time can be improved by 28.57% to 52.70%, and the delivery time can be reduced by 22.86% to 27.61%.

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