Volume 13 Issue 3
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2013  >  13(3): 121-126
Previous
FAN Na, ZHAO Xiang-mo, WANG Qing-long. Trust model of data fusion for internet of ships[J]. Journal of Traffic and Transportation Engineering, 2013, 13(3): 121-126. doi: 10.19818/j.cnki.1671-1637.2013.03.017
Citation: FAN Na, ZHAO Xiang-mo, WANG Qing-long. Trust model of data fusion for internet of ships[J]. Journal of Traffic and Transportation Engineering, 2013, 13(3): 121-126. doi: 10.19818/j.cnki.1671-1637.2013.03.017
shu

Trust model of data fusion for internet of ships

doi: 10.19818/j.cnki.1671-1637.2013.03.017

  • School of Information Engineering, Chang'an University, Xi'an 710064, Shaanxi, China

More Information
  • Author Bio:

    FAN Na(1978-), female, lecturer, PhD, +86-29-82334763, fnsea@163.com

  • Received Date: 2013-01-06
  • Publish Date: 2013-06-25
    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.

     

    • FullText(HTML)
  • loading
    • References(17)
  • [1]
    ATZORI L, IERA A, MORABITO G. The internet ofthings: a survey[J]. Computer Networks, 2010(54): 2787-2805.
    [2]
    HU Xiang-dong. Advance in research and development on the internet of things[J]. Digital Communication, 2010, 37(2): 17-21. (in Chinese). doi: 10.3969/j.issn.1005-3824.2010.02.004
    [3]
    SONG Ya-hui, LI Feng-bao, LI Zai-ming. Survey on energy-efficiency technology for wireless sensor networks[J]. Chinese Journal of Scientific Instrument, 2006, 27(6): 1665-1674. (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-YQXB2006S2268.htm
    [4]
    TANG Hui, HU Xiang-dong. The research overview of data fusion in WSN[J]. Information Security and Communications Privacy, 2007(7): 62-64, 68. (in Chinese). doi: 10.3969/j.issn.1009-8054.2007.07.034
    [5]
    KUMAR D, ASERI T C, PATEL R B. Energy efficient clustering and data aggregation protocol for heterogeneous wireless sensor networks[J]. International Journal of Computers, Communications and Control, 2011, 5(1): 113-124.
    [6]
    ZHOU Ming-zheng, CHU Ning, ZHOU Tao, et al. Dynamic data fusion algorithm based on energy restraining in sensor network[J]. Chinese Journal of Scientific Instrument, 2007, 28(1): 172-175. (in Chinese). doi: 10.3321/j.issn:0254-3087.2007.01.035
    [7]
    GUO Jiang-hong, LUO Yu-dong. Probabilistic transmitting-based data aggregation scheme for wireless sensor networks[C]∥IEEE. Proceedings of the 2nd International Conference on Systems Engineering and Modeling. Paris: IEEE, 2013: 976-979.
    [8]
    MARAIYA K, KANT K, GUPTA N. Wireless sensor net-work: a review on data aggregation[J]. International Journal of Scientific and Engineering Research, 2011, 2(4): 1-6.
    [9]
    HAO Wen-jiang, WU Jie. Research on security of the internet ofthings[J]. Netinfo Security, 2010(1): 49-50. (in Chinese). doi: 10.3969/j.issn.1671-1122.2010.01.013
    [10]
    TIAN Jun-feng, LU Yu-zhen, LI Ning. Trust chain management model based on recommendation[J]. Journal on Communications, 2011, 32(10): 1-9. (in Chinese). doi: 10.3969/j.issn.1000-436X.2011.10.001
    [11]
    CHEN Jing, DU Rui-ying, WANG Li-na, et al. A trust game method basing on probability model in networks[J]. Acta Electronica Sinica, 2010, 38(2): 427-433. (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU201002028.htm
    [12]
    CHEN Dong, CHANG Gui-ran, SUN Da-wei, et al. TRMloT: a trust management model based on fuzzy reputation for internet of things[J]. Computer Science and Information Systems, 2011, 8(4): 1207-1228. doi: 10.2298/CSIS110303056C
    [13]
    CEOLIN D, HAGE W R, FOKKINK W. A trust model to estimate the quality of annotations using the web[C]∥ACM. 2010 Web Science Conference. Raleigh: ACM, 2010: 1-8.
    [14]
    LIU Wen-mao, YIN Li-hua, FANG Bin-xing, et al. A hierarchical trust model for the internet of things[J]. Chinese Journal of Computers, 2012, 35(5): 847-855. (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-JSJX201205002.htm
    [15]
    YUAN Lu-lai, ZENG Guo-sun, JIANG Li-li, et al. Dynamic level scheduling based on trust model in grid computing[J]. Chinese Journal of Computers, 2006, 29(7): 1217-1224. (in Chinese). doi: 10.3321/j.issn:0254-4164.2006.07.023
    [16]
    FANG Hui, ZHANG Jie, THALMANN N M. A trust model stemmed from the diffusion theory for opinion evaluation[C]∥IEEE. Proceedings of the 12th International Conference on Autonomous Agents and Multi-agent Systems. Saint Paul: IEEE, 2013: 1-8.
    [17]
    KIM H, LEE H, KIM W, et al. A trust evaluation model for QoS guarantee in cloud systems[J]. International Journal of Grid and Distributed Computing, 2010, 3(1): 1-9.
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1540) PDF downloads(824) Cited by()
    Related

    Website copyright Journal of Traffic and Transportation Engineering Editorial Department陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang'an University, Middle Section of South 2nd Ring Road, Xi'an, China（710064） Tel：029-82334388 Email：jygc@gfscw.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return