Family gene based grid trust model

被引：0

作者：

Wang, Tiefang ^{[1
]}

Li, Tao ^{[1
]}

Gong, Xun ^{[1
]}

Yang, Jin ^{[1
]}

Hu, Xiaoqin ^{[1
]}

Wang, Diangang ^{[1
]}

Zhao, Hui ^{[1
]}

机构：

[1] Sichuan Univ, Sch Comp Sci, Chengdu 610065, Peoples R China

来源：

ADVANCES IN NATURAL COMPUTATION, PT 2 | 2006年 / 4222卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper analyzes the deficiencies of current grid trust systems based on PKI (Public Key Infrastructure), ambiguity certificate principal information, and complicated identification process. Inspired by biologic gene technique, we propose a novel grid trust model based on Family Gene (FG) model. The model answers the existing questions in tradition trust model by adopting the technology of family gene. The concepts and formal definitions of Family Gene in the grid trust security domains are given. Then, the mathematical models of Family Gene are established. Our theoretical analysis and experimental results show that the model is a good solution to grid trust domain.

引用

页码：110 / 113

页数：4

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