Attribute-hiding fuzzy encryption for privacy-preserving data evaluation

• Main Authors: CHEN, Zhenhua, HUANG, Luqi, YANG, Guomin, SUSILO, Willy, FU, Xingbing, JIA, Xingxing
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: attribute-hiding; data evaluation; Encryption; Fuzzy encryption; Hamming distances; Inspection; Medical diagnostic imaging; overlap distance; predicate encryption; Privacy; Security; Vectors; Information Security
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/8694; https://ink.library.smu.edu.sg/context/sis_research/article/9697/viewcontent/Attribute_hidingFuzzy_2024_av.pdf
• 機構: Singapore Management University

Privacy-preserving data evaluation is one of the prominent research topics in the big data era. In many data evaluation applications that involve sensitive information, such as the medical records of patients in a medical system, protecting data privacy during the data evaluation process has become...