The K-Anonymity Approach for Privacy Preservation against Aggregate Knowledge Attacks

Abstract

In todays world preserving the privacy of individuals is difficult as attacker may have abstract or aggregate knowledge about each record.This paper is about protecting privacy of individuals in publication scenarios  using k-anonymity approach.The anonymization technique aims at generalizing attributes to ensure that aggregate values over the complete record will create equivalence classes of at size k.The anonymization technique addresses attack scenario and ensures that there is no information loss.