We consider the problem of releasing a table containing personal records, while ensuring individual privacy and maintaining data integrity to the extent possible. One of the techniques proposed in the literature is k-anonymization. A release is considered k-anonymous if the information corresponding to any individual in the release cannot be distinguished from that of at least k\u22121 other individuals whose information also appears in the release. In order to achieve k-anonymization, some of the entries of the table are either suppressed or generalized (e.g. an Age value of 23 could be changed to the Age range 20-25). The goal is to lose as little information as possible while ensuring that the release is k-anonymous.<\/p>\n","protected":false},"excerpt":{"rendered":"
We consider the problem of releasing a table containing personal records, while ensuring individual privacy and maintaining data integrity to the extent possible. One of the techniques proposed in the literature is k-anonymization. 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