N-SA K-anonymity Model: A Model Exclusive of Tuple Suppression Technique

Abstract

N-SA K-anonymity Model: A Model Exclusive of Tuple Suppression Technique is used to protect released data which contains multiple sensitive attributes. On the basis of K-anonymity model sensitive information cannot be distinguished from at least K-1 individuals whose information also appears in the release. N-SA K-anonymity model proposed to maintain the confidentiality of respondents. Tuple suppression causes data loss as well as disturbs the accuracy of sensitive information. Tuple suppression is applied on record when particular record not satisfying K factor. If multiple dissimilar records present in dataset increases the percentage of data distortion. N-SA K-anonymity model suggest adding extra records from population to satisfy not only K-anonymity also increase data availability as well as help to maintain the accuracy of multiple sensitive information. Records are added in such a way, they will not disturb accuracy of multiple sensitive information.