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.
Highlights
Web based learning is very helpful in all areas where ever need of training is required to be latest and updated
On the basis of our research work, can be very helpful for making consumer aware about web service and its proper and effective utilization. This list will be automatically updated, and customer need to understand the usability and working of the list which can be done through understanding of web service lifecycle, means of trust we have focused in improving the service quality and assuring the security which can be possible through safe and secure web service communication in between users and developers
It is a big failures in delivering of web service due to DDOS attack which creates the need for improvement in QoS standards, i.e. WS- Standards (Salas & Martins, 2014; Al-Masri & Mahmoud, 2007)
Summary
Web based learning is very helpful in all areas where ever need of training is required to be latest and updated. On the basis of our research work, can be very helpful for making consumer aware about web service and its proper and effective utilization This list will be automatically updated, and customer need to understand the usability and working of the list which can be done through understanding of web service lifecycle, means of trust we have focused in improving the service quality and assuring the security which can be possible through safe and secure web service communication in between users and developers. Through research survey we had found that number of works are doing in the field of service prediction but there are the scope of trust based web service selection. The Major focus of this paper is to evaluate trust and to design quality assessment model for QoS aware web service prediction and updating Consumer specific Customized Provider List. We had focused in correlation but within the metrics to generate improved method for calculating trust score which reduce the chances of wrong estimation of confidence in computation
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