TRM-IoT: A Trust Management Model Based on Fuzzy Reputation for Internet of Things

Dong Chen1, Guiran Chang2, Dawei Sun1, Jiajia Li1, Jie Jia1 and Xingwei Wang1

  1. College of Information Science and Engineering, Northeastern University
    110004 Shenyang, China
  2. Computing Center, Northeastern University
    110004 Shenyang, China


Since a large scale Wireless Sensor Network (WSN) is to be completely integrated into Internet as a core part of Internet of Things (IoT) or Cyber Physical System (CPS), it is necessary to consider various security challenges that come with IoT/CPS, such as the detection of malicious attacks. Sensors or sensor embedded things may establish direct communication between each other using 6LoWPAN protocol. A trust and reputation model is recognized as an important approach to defend a large distributed sensor networks in IoT/CPS against malicious node attacks, since trust establishment mechanisms can stimulate collaboration among distributed computing and communication entities, facilitate the detection of untrustworthy entities, and assist decision-making process of various protocols. In this paper, based on in-depth understanding of trust establishment process and quantitative comparison among trust establishment methods, we present a trust and reputation model TRM-IoT to enforce the cooperation between things in a network of IoT/CPS based on their behaviors. The accuracy, robustness and lightness of the proposed model is validated through a wide set of simulations.

Key words

Internet of Things, Cyber Physical System, Wireless Sensor Network, Trust, Reputation, Fuzzy Sets

Digital Object Identifier (DOI)

Publication information

Volume 8, Issue 4 (October 2011)
Cyber-Physical Networks and Software
Year of Publication: 2011
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Chen, D., Chang, G., Sun, D., Li, J., Jia, J., Wang, X.: TRM-IoT: A Trust Management Model Based on Fuzzy Reputation for Internet of Things. Computer Science and Information Systems, Vol. 8, No. 4, 1207-1228. (2011),