k-anonymity and SQL Server – Information with Insight
k-anonymity and differential privacy: How these concepts k-anonymity is a lexical transformation on the DB. It's just mapping the universe of all possible DBs to all those which respect the k-anonymity principle. Thus, exactly as you say, it is just a property of the DB. Poor values of k or cases when the distance between the original DB and the mapped DB is large can lead to significant privacy leaks. Privacy Preserving Data Publishing: From k-Anonymity to k-Anonymity: Algorithms Numerous algorithms for k-anonymity had been proposed Objective: achieve k-anonymity with the least amount of generalization This line of research became obsolete Reason: k-anonymity was found to be vulnerable [Machanavajjhala et al. 2006] Name Age ZIP Andy 20 10000 Bob 30 20000 Cathy 40 30000 Diane 50 40000 What is k-anonymity? - Quora
α,k)-Anonymity: An Enhanced -Anonymity Model for Privacy
In our privacy-preserving framework, we adopt (a, k)-anonymity as privacy-preserving model for D2D big data and use the distributed MapReduce to classify and group data for massive datasets. The results of experiments and theoretical analysis show that our privacy-preserving algorithm deployed on MapReduce is effective for D2D big data privacy
ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING
Privacy Preserving Data Publishing: From k-Anonymity to k-Anonymity: Algorithms Numerous algorithms for k-anonymity had been proposed Objective: achieve k-anonymity with the least amount of generalization This line of research became obsolete Reason: k-anonymity was found to be vulnerable [Machanavajjhala et al. 2006] Name Age ZIP Andy 20 10000 Bob 30 20000 Cathy 40 30000 Diane 50 40000 What is k-anonymity? - Quora k-anonymity is a property of a data set, usually used in order to describe the data set’s level of anonymity. A dataset is k-anonymous if every combination of identity-revealing characteristics occurs in at least k different rows of the data set.