In cloud platforms, data privacy is a significant feature of stored data. The cloud contains a significant part in the medical field anywhere and it contains some sensitive data like the effects of the illness and the nature of the disease. Publishing and sharing sensitive data individually from the cloud infrastructure is an important task in the medical field. Hence, it is significant to preserve the information of the patients with more data privacy and high security. The African Vultures Optimization (AVOA) algorithm is the combination of a Genetic Algorithm and a simulated annealing method (GAVOSA) employed in this paper to protect patients’ privacy. To calculate the fitness function, the optimization algorithm uses the generalized information loss and average equivalence value. The outcomes of the introduced method showed that the introduced technique can efficiently protect the medical databases’ privacy.

Genetic Algorithm-African Vultures Optimization algorithm-Simulated Annealing, cloud platform, Encryption, Privacy preservation, Data Security, Mondrian K-anonymity, Privacy.