An analysis of the exponential decay principle in probabilistic trust models

被引：34

作者：

ElSalamouny, Ehab ^{[1
]}

Krukow, Karl Tikjob ^{[2
]}

Sassone, Vladimiro ^{[1
]}

机构：

[1] Univ Southampton, ECS, Southampton SO9 5NH, Hants, England

[2] Trifork, Aarhus, Denmark

来源：

THEORETICAL COMPUTER SCIENCE | 2009年 / 410卷 / 41期

基金：

英国工程与自然科学研究理事会;

关键词：

Trust; Computational trust; Probabilistic trust models; Hidden Markov Models; Decay principle; Beta distribution; REPUTATION;

D O I：

10.1016/j.tcs.2009.06.011

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Research in models for experience-based trust management has either ignored the problem of modelling and reasoning about dynamically changing principal behaviour, or provided ad hoc solutions to it. Probability theory provides a foundation for addressing this and many other issues in a rigorous and mathematically sound manner. Using Hidden Markov Models to represent principal behaviours, we focus on computational trust frameworks based on the 'beta' probability distribution and the principle of exponential decay, and derive a precise analytical formula for the estimation error they induce. This allows potential adopters of beta-based computational trust frameworks and algorithms to better understand the implications of their choice. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：4067 / 4084

页数：18

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