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  • 标题:A compressive sensing–based adaptable secure data collection scheme for distributed wireless sensor networks
  • 本地全文:下载
  • 作者:Zhen Liu ; Yi-Liang Han ; Xiao-Yuan Yang
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2019
  • 卷号:15
  • 期号:6
  • 页码:1
  • DOI:10.1177/1550147719856516
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Toward the goal of high security and efficiency for data collection in wireless sensor network, this article proposed an adaptable secure compressive sensing–based data collection scheme for distributed wireless sensor network. It adopted public key cryptography technology to solve the key distribution problem, and compressive sensing over finite fields to reduce the communication cost of data collection. Under hardness of decisional learning with errors problem on lattice, it can ensure indistinguishability against chosen ciphertext attack (IND-CCA1) security scheme for collected data on the extranet and indistinguishability against chosen plaintext attack security for data during the process of distributed collection on the intranet. Owing to the similar linear structure for lattices and compressive sensing, data encryption collection can be all in the form of efficient linear operations, and internode data aggregation can be in the form of addition operation.
  • 关键词:Distributed sensor networks; secure data collection; encryption algorithm; compressed sensing; quantum attack resistant
  • 其他关键词:Distributed sensor networks ; secure data collection ; encryption algorithm ; compressed sensing ; quantum attack resistant
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