| Summary: | 碩士 === 國立中正大學 === 通訊工程研究所 === 100 === Digitizing data has emerged as a trend underpinned by information and communication technology (ICT) to utilize the data more effectively, and improve the service efficiency and quality. However, these digital data contains highly confidential and involves privacy information; even legitimate access can cause privacy infringements. With the rising awareness of personal privacy and legal regulations, data provider needs to de-identify data and achieve k-anonymity requirements before using and sharing data. Current k-anonymity mechanisms deem that all the attributes have the same importance and disregard the data practical needs, which will decrease the utility of the anonymous data for a particular usage. In this study, we propose a utility-based k-anonymity mechanism – UACT, which sorts and generalizes data according to user-predefined attribute priority in order to satisfy the k-anonymity requirement and data utility needs. The experiments show that UACT not only satisfy the k-anonymity requirement and data utility needs but also maintains low information loss and high execution efficiency.
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