Yang Zhi-xiao
College of Information Science and Engineering, Henan University of Technology, Henan, Zhengzhou, 450001, China
Fan Yan-feng
College of Information Science and Engineering, Henan University of Technology, Henan, Zhengzhou, 450001, China
ABSTRACT
In order to quantify node reputation in trusted networks, while considering fuzziness and randomness of the concept and adapting to network changes, a Normal Cloud Model based (NCM) approach is proposed. Node reputation cloud is constructed through inverse cloud generator from Service Satisfaction Degrees (SSDs) in a big window N. With cloud generator of the cloud, certainty degree of each SSD in reputation computation window H is generated. It is random but with stable tendency. SSDs weight is designed based on its certainty degree and attenuation coefficient. The proposed reputation model is able to describe uncertainties in trusted networks, and adapt to network changes. Experiment results show that the proposed model has stable computation result and high performance of anti-attacking.
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How to cite this article
Yang Zhi-xiao and Fan Yan-feng, 2013. Normal Cloud Model Based Reputation Quantification in Trusted Networks. Information Technology Journal, 12: 4523-4528.
DOI: 10.3923/itj.2013.4523.4528
URL: https://scialert.net/abstract/?doi=itj.2013.4523.4528
DOI: 10.3923/itj.2013.4523.4528
URL: https://scialert.net/abstract/?doi=itj.2013.4523.4528
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