Literature DB >> 26490146

Data Division Scheme Based on Homomorphic Encryption in WSNs for Health Care.

Xiaoni Wang1, Zhenjiang Zhang2.   

Abstract

The use of wireless sensor networks for wearable computing in health care is growing quickly. Numerous applications are already in use, such as blood pressure monitors and heart rate monitors. As such, it is very important for system designers to consider how to protect patient privacy, especially in wireless sensor networks. After studying and analyzing the features of wireless sensor networks in medical systems, a data division scheme was proposed in this paper, provided the advantages of homomorphic encryption. In the proposed scheme, even if a forwarding node is compromised, the attacker will not be able to eavesdrop on the data, resulting in much stronger privacy than existing schemes. Experimental results shows that the scheme provides a good trade off in resources consumed and system security, and is efficient for encrypting or decrypting sensitive medical data.

Entities:  

Keywords:  Data division; Health care; Wireless sensor networks

Mesh:

Year:  2015        PMID: 26490146     DOI: 10.1007/s10916-015-0340-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  1 in total

1.  Security and privacy issues in wireless sensor networks for healthcare applications.

Authors:  Moshaddique Al Ameen; Jingwei Liu; Kyungsup Kwak
Journal:  J Med Syst       Date:  2010-03-12       Impact factor: 4.460

  1 in total
  3 in total

1.  A Provably Secure Aggregate Signature Scheme for Healthcare Wireless Sensor Networks.

Authors:  Limin Shen; Jianfeng Ma; Ximeng Liu; Meixia Miao
Journal:  J Med Syst       Date:  2016-10-01       Impact factor: 4.460

2.  A systematic review of homomorphic encryption and its contributions in healthcare industry.

Authors:  Kundan Munjal; Rekha Bhatia
Journal:  Complex Intell Systems       Date:  2022-05-03

3.  Local differential privacy protection for wearable device data.

Authors:  Zhangbing Li; Baichuan Wang; Jinsheng Li; Yi Hua; Shaobo Zhang
Journal:  PLoS One       Date:  2022-08-17       Impact factor: 3.752

  3 in total

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