Securing the Personal Health Records in Cloud Using ABE and Analyzing them using Rule Based Classification in Data Mining
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2015, Vol 5, Issue 4
Abstract
Securing one’s personal data has become precisely important these days. Bio data, banking details, medical records, pan card, passport are some of the examples of the personal data. One among those is the Personal Health records of the individual, as these records store the personal information related to the patient, they have to be secured properly. In this paper these health records are stored at the third party, called cloud providers. Here the cloud acts as server in order to store the health records of the individuals. Even though they are stored in the cloud, these PHR have a wide range of private concerns as they can be exposed to unauthorized users. Many techniques have emerged to secure these health records from the unauthorized usage; one among those is Attribute based encryption. And analysis is done through Classification rule in mining; it is applied on the data to accurately predict the target records for each case in the data. In this paper we discuss the techniques to secure the data and the techniques to analyze the secured data.
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