Exploiting Metadata for Intelligent and Secure JSON REST API Services

As data sources are dynamically growing and as they become widely available from cloud servers, application programs actively access the data sources. Cloud servers run on REST APIs, which can then be requested by applications to leverage data. It is likely that the data can be transmitted to applications in a JSON format from a cloud API server. However, the cloud server may not serve databases efficiently to the requests if JSON data requests are overwhelming. Its service may not be intelligent to form a JSON data, or it may not preserve private data from unauthorized JSON data requests. This paper proposes (1) privately authorized JSON data generation by using either database states of metadata or by partial-order relations among data states, and (2) efficient JSON data generation by observing the auxiliary from the previously requested requests. The contribution of this paper includes intelligent and secure JSON data services that can protect data and predict a JSON request before it is requested.