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Trusted data collection for Internet of Things
Author(s) -
Ning Zhenhu,
Gong Bei,
Xu Meng,
Zhou Caiqiu
Publication year - 2021
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.6166
Subject(s) - computer science , internet of things , data collection , scheme (mathematics) , computer security , compressed sensing , energy consumption , the internet , energy (signal processing) , computer network , engineering , world wide web , algorithm , mathematical analysis , statistics , mathematics , electrical engineering
Summary Trusted date collection is the precondition of the security of Internet of Things (IOT). Recently, compressed sensing technology, which can enable the reduction of the energy consumption and time delay of data collection, has been extensively studied in IOT; However, the security of compressed sensing technology in IOT has not been sufficiently considered. Since compressed sensing depends the cooperation between IOT nodes and then sensing data is transparent for all IOT nodes, which is subjected to malicious nodes attack. Therefore, we propose a trusted data collection scheme based on compressed sensing oriented to the IOT. When data collection is tampered with, the scheme can detect malicious nodes. Experiments demonstrate that the proposed scheme can ensure data security with a low energy consumption.