教師資料查詢 | 類別: 期刊論文 | 教師: 李思壯LI SZU CHUANG (瀏覽個人網頁)

標題:Developments and Applications of Data Deidentification Technology Under Big Data
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
語言英文(美國)
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
國別中國
公開徵稿
出版型式,紙本
相關連結
SDGs
  • 和平正義與有力的制度,產業創新與基礎設施
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