PRIVACY PROTECTION WHILE OFFERING DATA-AS-A-SERVICE

摘要

Method for privacy protection while offering data-as-a-service comprises receiving TG predicates defining a set of conditions for a network provider for selecting data to be provided to a service provider. Clustering a plurality of users registered with the network provider into a plurality of clusters based on user profiles corresponding to each of the plurality of users. Transforming each of the plurality of clusters to obtain a corresponding DP noise enabled cluster having a DP noise enabled low-dimensional cluster centroid. Determining a best matching cluster, from among a plurality of DP noise enabled clusters. The best matching cluster E corresponds to the DP noise enabled low-dimensional cluster centroid having a highest similarity with a low-dimensional representation of the TG predicates. Obtaining one or more DP noise enabled dominant features of the user profiles corresponding to one or more users, from among the plurality of users, associated with the best matching cluster. To be published with figure 2 Sir, yr lallan ko kaan nhi h shayad kabhi iski seat par to kabhi uski seat par betha rehta h.