NDLI: A reputation computation model for trusted networks considering uncertainties based on cloud theory

Content Provider	IEEE Xplore Digital Library
Author	Sumin Jiao Zhixiao Yang Bin Zhang
Copyright Year	2011
Description	Author affiliation: College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China (Sumin Jiao; Zhixiao Yang; Bin Zhang)
Abstract	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.
Starting Page	473
Ending Page	476
File Size	441404
Page Count	4
File Format	PDF
ISBN	9781612848396
e-ISBN	9781612848402
DOI	10.1109/ICCRD.2011.5764061
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud theory Uncertainty Computational modeling Gaussian distribution Entropy Trusted network Helium Reputation model Fuzziness Uncertainty weight Randomness Attenuation Mathematical model
Content Type	Text
Resource Type	Article

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