Differential and TriPhase Adaptive Learning-Based Privacy-Preserving Model for Medical Data in Cloud Environment
Rishabh Gupta, Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh
Abstract
This letter proposes a novel secure data protection model for privacy preservation in the cloud environment by partitioning, sanitizing, and analyzing the data effectively to improve the model’s privacy. Several experiments and comparisons of the proposed model with existing works indicate that it protects data with high accuracy, precision, recall, and F1-score up to 87.03%, 84.87%, 87.03%, and 85.00%, for diverse datasets with a relative improvement up to 15.89%, 27.73%, 15.89%, and 21.44%, respectively.
Topics & Concepts
Differential privacyCloud computingComputer sciencePrivacy protectionInformation privacyPrecision and recallData miningMachine learningComputer securityOperating systemPrivacy-Preserving Technologies in DataCryptography and Data SecurityCloud Data Security Solutions