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  • 标题:An Improved Mix Transmission Algorithm for Privacy-Preserving
  • 本地全文:下载
  • 作者:Xu, Guangxia ; Lin, Fuyi ; Liu, Yu
  • 期刊名称:Journal of Networks
  • 印刷版ISSN:1796-2056
  • 出版年度:2014
  • 卷号:9
  • 期号:12
  • 页码:3373-3380
  • DOI:10.4304/jnw.9.12.3373-3380
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:With the rapid development of the internet of things (IOT), personal privacy has been realized as the most important security issue in wireless sensor networks, especially in the Body Area Network (BAN) used in the medical field. Traditional encryption methods cannot defense against the attacks in which the communication signal vector is analyzed in time and space dimensions, while the data is transmitting in the wireless space. Based on the above requirements, an improved security data mix transmission algorithm for medical applications in the BAN is presented in this paper. Combined with the practical application scenarios, this algorithm can realize anonymous privacy protection of data transmission in the transmission process and present better transmission performance by dividing the whole network into many smaller ring networks and generating more tokens in the network. transmission simulations are conducted and the results show the method proposed offers less energy consumption and time delay
  • 关键词:BAN;K-Anonymity;Privacy-Preserving;Data Transmission
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