A Reputation Computation Model for Trusted Networks Considering Uncertainties based on Cloud Theory
In trustable networks, the process that nodes submit service satisfaction degree to form reputation of service provider has uncertainties of fuzziness and randomness. A cloud theory based model is proposed for the computation of node reputation. Weights of service satisfaction degrees in the model include an attenuation coefficient part and a certainty degree part The certainty degree part is obtained through algorithm of positive reputation cloud of evaluated node. It is a random number even under a given service satisfaction degree value. The randomness can describe the uncertainties of submitting service satisfaction degrees. Weights designed under such certainty degrees also have randomness under given service satisfaction degree value. The randomness indicates the trustable extent of a submitted service satisfaction degree. Results compared with other reputation models show that the proposed model has good stability.
trusted network reputation model uncertainty weight cloud theory fuzziness randomness
Sumin Jiao Zhixiao Yang Bin Zhang
College of Information Science and Engineering Henan University of Technology Zhengzhou, China
国际会议
上海
英文
473-476
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）