Crow-Water Wave Optimization Algorithm for Privacy-Preserved Collaborative Data Publishing

Abstract

The main motive of this research is the development of CWWO-based encoding algorithm for conserving the privacy of medical data. The privacy preservation of published data relies on the four privacy constraints. While publishing the record, the Service provider(SP) suggests the information to the unauthorized person in which the privacy needs to be preserved. The privacy preservation of medical record is relies on the constraints, like the k-anonymity, l-diversity, the m-privacy and f-sensitive. These privacy constraints are must be satisfied while publishing the data, and in case it is not satisfied, the C-mixture enhances these security constraints. Once the privacy parameters are satisfied, then the fitness value is computed. The fitness with minimum value is considered as best value for publishing the information and hence the privacy is to be enhanced.