Web Services Reputation Assessment Using a Hidden Markov Model

被引：0

作者：

Malik, Zaki ^{[1
]}

Akbar, Ihsan ^{[2
]}

Bouguettaya, Athman ^{[3
]}

机构：

[1] Wayne State Univ, Dept Comp Sci, Detroit, MI 48202 USA

[2] Virginia Tech, Dept Elect Engn, Blacksburg, VA 24061 USA

[3] CSIRO, ICT Ctr, Canberra, ACT, Australia

来源：

SERVICE-ORIENTED COMPUTING - ICSOC 2009, PROCEEDINGS | 2009年 / 5900卷

基金：

美国国家科学基金会;

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We present an approach for reputation assessment in service-oriented environments. We define key metrics to aggregate the feedbacks of different raters, for assessing a service provider's reputation. In situations where rater feedbacks are not readily available, we use a Hidden Markov Models (HMM) to predict the reputation of a service provider. HMMs have proven to be suitable in numerous research areas for modelling dynamic systems. We propose to emulate the success of such systems for evaluating service reputations to enable trust-based interactions with and amongst Web services. The experiment details included in this paper show the applicability of the proposed HMM-based reputation assessment model.

引用

页码：576 / +

页数：4

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