DocumentCode :
3681039
Title :
Trust Evaluation Model Based on Privacy Protection
Author :
Ruo-Qian Si;Lin Zhang
Author_Institution :
Coll. of Comput., Nanjing Univ. of Posts &
fYear :
2015
Firstpage :
595
Lastpage :
600
Abstract :
The existing trust evidence models most use a comprehensive analysis of the trust in the trust decision. Comprehensive trust value is based on direct trust value and recommended trust value derived.And recommended trust value is as to private data of a provider,its privacy should be taken into consideration. However, most of the trust models have neglected this point. With the help of ERRPH (Extended Randomized Response with Partial Hidding) method this problem is solved.This method can protect privacy effectively and do not affect the judgment of trust.When making trust decisions,this method can ensure the privacy and accuracy of data.We also combine with calculation based on the Bayesian theory in the trust decision.Through simulation,it proves that this model have effect of privacy protection.This model is also a more effective trust evaluation methods.
Keywords :
"Privacy","Computational modeling","Data privacy","Analytical models","Data models","Mathematical model","Predictive models"
Publisher :
ieee
Conference_Titel :
Network and Information Systems for Computers (ICNISC), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICNISC.2015.147
Filename :
7311960
Link To Document :
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