QoS-based Trust Evaluation for Data Services as a Black Box

Senda Romdhani, Genoveva Vargas-Solar, N. Bennani, C. Ghedira
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引用次数: 3

Abstract

Under the black-box model, data services do not export (meta)-data describing the conditions in which data are collected, in which they are deployed and processed, and the quality of the data they deliver. Thus, this model creates blind spots that prevent determining to which extent providers can be trusted to use their data services for building target applications. This paper proposes a QoS-based trust evaluation model for black box data services that combines QoS indicators, including service performance and data quality. The paper also introduces DETECT (Data sErvice as a black box Trust Evaluation arChitecTure) which validates our model. The experimental results demonstrate the feasibility and effectiveness of our solution.
基于qos的黑箱数据服务信任评估
在黑箱模型下,数据服务不导出(元)数据,即描述数据收集条件、数据部署和处理条件以及所交付数据质量的数据。因此,该模型创建了盲点,无法确定提供者在多大程度上可以信任,从而无法使用其数据服务来构建目标应用程序。本文提出了一种基于QoS的黑箱数据服务信任评估模型,该模型结合了服务性能和数据质量等QoS指标。本文还介绍了数据服务黑盒信任评估体系结构(DETECT, Data sErvice as a black box Trust Evaluation arChitecTure),验证了我们的模型。实验结果验证了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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