Hybrid Privacy Preserving Mechanism: An Approach to Protect Health Care Data
DOI:
https://doi.org/10.51983/ajcst-2018.7.1.1826Keywords:
Homomorphic, Bayesian classifier, Privacy preserving, Prediction of cancerAbstract
With a lot of clinical information produced regularly, efficient methods have to be used to unearth significant data. Securing the information from the unapproved clients is also a major task to be achieved. Though lot of research has been carried out in these areas separately, a Hybrid architecture which combines both the features – efficiency and security is not widely found. The proposed architecture has been built taking these aspects into consideration. A proficient strategy for cross breed information mining method is applied here which incorporates the combination of Navie Bayesian classifier and Homomorphic encryption calculation.
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