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作者:

Gong, Bei (Gong, Bei.) (学者:公备) | Zhang, Yu (Zhang, Yu.) | Wang, Yubo (Wang, Yubo.)

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EI Scopus SCIE

摘要:

Trusted transmission of data in sensing layer is the basis of security of Internet of Things so in data transmission process the trust of sensing node needs real-time confirmation and the track of the node is also needed. But the most current remote attestation mechanisms cannot achieve real-time trust attestation of sensing nodes and cannot track the node, if the node is an untrusted one, and these mechanisms also have poor environmental adaptability, so the current remote attestation mechanisms are not suitable for the sensing layer nodes in the Internet of Things. To solve the above problems, a remote attestation mechanism for the sensing layer nodes in the Internet of Things is presented in this paper. Firstly, the formal description of the sensor nodes is given; secondly, based on the formal description, a real-time trust measurement for the sensing nodes is proposed and the real-time trust measurement for the sensing nodes is realized; thirdly by encapsulating the properties and trust value of sensing node, the real-time tracing of the trust of nodes are realized in data transmission process. The security of this mechanism is proved in the standard model, meanwhile, this mechanism will not expose the privacy of nodes in the process of attestation, and it can trace the untrusted nodes. The simulation experiment shows that this mechanism can resist the attacks to the sensing nodes and can effectively improve the trust rate of data transmission, and this mechanism has good dynamic adaptability to network environment. This mechanism is simple and efficient, meanwhile the mechanism is flexible and easy to implement. (C) 2017 Elsevier B.V. All rights reserved.

关键词:

Trust of data Internet of Things Remote attestation Trust measurement Sensing layer nodes

作者机构:

  • [ 1 ] [Gong, Bei]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 2 ] [Wang, Yubo]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 3 ] [Zhang, Yu]Zhengzhou Normal Univ, Coll Informat Sci & Technol, Zhengzhou, Henan, Peoples R China

通讯作者信息:

  • 公备

    [Gong, Bei]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

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来源 :

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

ISSN: 0167-739X

年份: 2018

卷: 78

页码: 867-886

7 . 5 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:161

JCR分区:1

被引次数:

WoS核心集被引频次: 32

SCOPUS被引频次: 40

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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