A Data Reconstruction Approach for Identity Disclosure Protection
نویسندگان
چکیده
Identity disclosure is one of the most serious privacy concerns in today’s information age. A well-know method, called k-anonymity, has recently been proposed and used to protect identity disclosure. The k-anonymity approach, however, still allows a data intruder to discern the confidential information in the anonymized data. To overcome this problem, we propose a data reconstruction approach, based on data aggregation and swapping, as well as instance selection, to achieve k-anonymity protection in predictive data mining.
منابع مشابه
Identity Disclosure Protection: A Data Reconstruction Approach for Preserving Privacy in Data Mining
Identity disclosure is one of the most serious privacy concerns in today’s information age. A wellknow method for protecting identity disclosure is k-anonymity. A dataset provides k-anonymity protection if the information for each individual in the dataset cannot be distinguished from at least k – 1 individuals whose information also appears in the dataset. There is a flaw in kanonymity that wo...
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