2022 Vol.5 Jun.No2

• Title: Security Domain Division Method of Internet of Things Nodes Based on Spectral Clustering
• Name: Yafei Wang
• Company: Information engineering college, Pingdingshan University, Pingdingshan 467000, China
• Abstract:

  Aiming at the high dimension of security data processing of Internet of things nodes, a security domain division method of Internet of things nodes based on spectral clustering is proposed. According to the node data receiving mechanism of the Internet of things, assuming that the location, number and network topology of anchor node devices in the Internet of things are fixed, the node trust is evaluated from two aspects: direct trust and indirect trust. Make full use of the advantages of spectral graph theory and eigenvalue, reduce the dimension before clustering, use spectral clustering algorithm to classify the data samples, and then store the original data information and the results of trust classification in the event database to obtain the detection results of malicious nodes. On the basis of trusted groups, dynamic adaptive adjustment is realized by dividing security domains, which can timely identify and eliminate untrusted nodes and effectively ensure the trusted operation of IOT network. The test results show that this method can improve the detection rate of malicious nodes, isolate malicious nodes in time and ensure the effective transmission of IOT data.

  
  

• Keyword: spectral clustering; Internet of things; node; security domain; division method; trust relationship;
• DOI: 10.12250/jpciams2022090105
• Citation form: Yafei Wang.Security Domain Division Method of Internet of Things Nodes Based on Spectral Clustering [J]. Computer Informatization and Mechanical System,2022,Vol.5,pp.31-35

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