Trust Decision Model and Trust Evaluation Model for Quality Web Service Identification in Web Service Lifecycle Using QSW Data Analysis

Trust Decision Model and Trust Evaluation Model for Quality Web Service Identification in Web Service Lifecycle Using QSW Data Analysis

Gaurav Raj, Manish Mahajan, Dheerendra Singh
Copyright: © 2020 |Pages: 20
DOI: 10.4018/IJWLTT.2020010103
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Abstract

In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust, calculated based on available direct attributes in quality web service (QWS) data sets. After getting training of such evaluation and decision strategies, developers and customers, both will use the knowledge and improve the QoS. This research provides web-based learning about web service quality which will be utilized for prediction, recommendation and the selection of trusted web services in the pool of web services available globally. In this research, the authors include designs to make decisions about the trustworthy web services based on classification, correlation, and curve fitting to improve trust in web service prediction. In order to empower the web services life cycle, they have developed a quality assessment model to incorporate a security and performance policy.
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Theoretical Background And Literature Review

The web service trust in lifecycle has number of existing literature where quality is measured as the metrics to evaluate the trust of web services based on possibility. Web Service Lifecycle (Raj, Singh, & Bansal, 2014) has been proposed in number of literatures include the phases as defined as development, deploy, maintenance, archive and destroy. Web services are micro processes relay on open standards for communication to find the inter-operability to prevent the incidence of a long time dependency over the provider (Xenos, Stavrinoudis, & Christodoulakis, 1999).

Figure 1.

Security framework for WS lifecycle

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