Research on Patient Privacy Protection for Medical Data in Cloud Computing

Cloud computing is attracting more and more researchers and enterprises, because it can deal with massive data with cheap commodity computers. Medical data are very important for disease analysis in order to better serve the patients, but the privacy of patients must be handled first. In this paper, we apply the cloud platform to build a medical data center for data mining, and propose an improved k-anonymity algorithm for medical data in such setting. The experiments show that our proposed algorithm is more efficient than the original k-anonymity algorithm, and can be used in medical data analysis in many data mining algorithms while not increasing the overall overhead a lot.