|Table of Contents|

Trust model of data fusion for internet of ships

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2013年03期
Page:
121-126
Research Field:
交通信息工程及控制
Publishing date:

Info

Title:
Trust model of data fusion for internet of ships
Author(s):
FAN Na;  ZHAO Xiang-mo;  WANG Qing-long
School of Information Engineering, Chang’an University, Xi’an 710064, Shaanxi, China
Keywords:
internet of things;  internet of ships;  data fusion;  trust model;  trust evaluation;  KL divergence;  credibility
PACS:
U491
DOI:
-
Abstract:
The concepts of subjective trust elevation and its expected probability were introduced. The credibility value of every node in the internet of ships was evaluated by statistical method, and calculated by using KL divergence. A trust model of data fusion was proposed based on node credibility evaluation. The nodes with high credibilities were included in the model, however, the nodes with low credibilities were abandoned in order to avoid their effects in data fusion. The structure of internet of ships was simulated, four different kinds of attacks were adopted to attack some network nodes, and simulation experiments were done where the iteration numbers were 100, 200 and 300 respectively. Simulation result shows that data fusion accuracy is 78% by using traditional method, and fusion result by using trust model is nearer to true data with an accuracy of 93%. Compared with traditional method, the accuracy and security of data fusion are efficiently improved by trust model. 1 tab, 8 figs, 17 refs.

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Last Update: 2013-07-30