Developments and Applications of Data Deidentification Technology Under Big Data | |
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學年 | 106 |
學期 | 1 |
出版(發表)日期 | 2017-09-01 |
作品名稱 | Developments and Applications of Data Deidentification Technology Under Big Data |
作品名稱(其他語言) | |
著者 | Hung-Li Chen; Yao-Tung Tsou; Bo-Chen Tai; Szu-Chuang Li; Yennun Huang; Chia-Mu Yu; YuShian Chiu |
單位 | |
出版者 | |
著錄名稱、卷期、頁數 | Journal of Electronic Science and Technology 15(3), p.231-239 |
摘要 | In this age characterized by rapid growth in the volume of data, data deidentification technologies have become crucial in facilitating the analysis of sensitive information. For instance, healthcare information must be processed through deidentification procedures before being passed to data analysis agencies in order to prevent any exposure of personal details that would violate privacy. As such, privacy protection issues associated with the release of data and data mining have become a popular field of study in the domain of big data. As a strict and verifiable definition of privacy, differential privacy has attracted noteworthy attention and widespread research in recent years. In this study, we analyze the advantages of differential privacy protection mechanisms in comparison to traditional deidentification data protection methods. Furthermore, we examine and analyze the basic theories of differential privacy and relevant studies regarding data release and data mining. |
關鍵字 | Deidentification;differential privacy |
語言 | en_US |
ISSN | |
期刊性質 | 國外 |
收錄於 | SCI |
產學合作 | |
通訊作者 | Yao-Tung Tsou |
審稿制度 | 是 |
國別 | CHN |
公開徵稿 | |
出版型式 | ,紙本 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/120023 ) |
SDGS | 和平正義與有力的制度,產業創新與基礎設施 |