Research on k-anonymity algorithm for privacy preservation

Privacy preservation has been an essential issue for individuals or organizations.k-anonymity is one of the primary techniques realizing privacy protection in data dissemination environment.Current k-anonymity solutions based on generalization and suppression techniques suffer from high information loss and low usability mainly due to reliance on pre-defined generalization hierarchies or order imposed on each attribute domain.It develops a new k-anonymity algorithm based on clustering technology.Experimental results show that the method can improve the usability of the released data while preserving privacy.