A Review of Anonymization Algorithms and Methods in Big Data Annals of Data Science Springer Nature Link
It is done to protect the private activity of an individual or a corporation while preserving the credibility of the data collected and exchanged. T-closeness furthers this by ensuring the distribution of a sensitive attribute in any anonymized release of data is close to the overall distribution. This prevents “skewness” or “similarity” attacks where an […]
