Anti-data Mining on Group Privacy Information

摘要: In the big data era, privacy preserving is a vital security challenge for mining. Common object of personal privacy, which should be kept unrevealed while mining on group information. However, few sensitive groups, such as suffering from some particular disease, engaging in special occupation or having peculiar hobby, even if every processed preserving, specificity can still exposed. Therefore, we propose concept and method anti-data By adding, swapping according to our rules, minable characteristic original destroyed eliminated prevent