A Review on Privacy-Preserving Web Application Using Data as A Service (DaaS)

Now-a-days there is a growing interest in using Web services as a reliable medium for data-sharing among different data providers and users. Recently, enterprises are using service oriented architecture for data sharing in web by putting data sources behind web services instead of creating database applications. These types of web services are called as Data providing (DP) Web services. Data as a Service (DaaS) builds on service-oriented technologies to enable fast access to data resources on the web. In this project, we proposed a mediator-based approach to compose different websites of different doctors with the help of DaaS. Every doctor wants to be upgraded so he/she is always connected to new innovations and other doctors. Doctor having different website created in different language and communicate because of Window Communication Foundation (WCF). But, DaaS technology raises several new privacy concerns that traditional privacy models do not handle. In addition, DaaS composition may reveal privacy-sensitive information. Here we are trying to enhance the privacy while composing the websites. So we will describe a formal privacy model for Web Services that goes beyond traditional data-oriented models. This model extends DaaS descriptions with privacy capabilities. It deals with privacy not only at the data level (i.e., inputs and outputs) but also service level (i.e., service invocation). The algorithms like Privacy Compatibility Matching (PCM) to check the privacy compatibility, negotiation mechanism that makes it possible to dynamically reconcile the privacy compatibilities of services will be used.