Cost based model for secure health care data retrieval

Abstract

In healthcare application, a huge amount of sensitive data is generated continuously which requires an efficient mechanism to retrieve them such that sensitive information is not leaked to unauthorized users. In this paper, we introduce a data retrieval strategy in linearly scalable high-performance NoSQL database like Cassandra and present a security analysis while retrieving the stored data. E-Health data is fragmented over multiple servers based on sensitive attributes and their sensitive association. It is required to make an extra layer of protection on actual data by representing it to users as chunks by introducing metadata concept. However, data retrieval requires authentication of users and the queries put forth by the user, for which a proper costing mechanism involving both user and query is introduced in this work using linear optimization concept.