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- W2912293513 abstract "Linking information across different databases enables new research in the medical sciences. Recent EU privacy regulations recommend encrypting personal identifiers used for linking. In this contribution, a new method for hardening such a privacy-preserving record linkage technique (PPRL) against attacks is presented. The new hardening method prevents re-identifications and cryptographic attacks while still delivering acceptable linkage quality. Using real-world mortality data, we compare clear-text and several current PPRL methods with our newly proposed method. While all PPRL methods will have to balance security and quality, the use of a cellular automata transformation to protect against attacks will decrease the linkage quality only slightly, while preventing all currently known methods of decrypting Bloom filter-based private linkage keys." @default.
- W2912293513 created "2019-02-21" @default.
- W2912293513 creator A5007082382 @default.
- W2912293513 creator A5022560140 @default.
- W2912293513 date "2018-11-01" @default.
- W2912293513 modified "2023-09-25" @default.
- W2912293513 title "Hardening Encrypted Patient Names Against Cryptographic Attacks Using Cellular Automata" @default.
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- W2912293513 doi "https://doi.org/10.1109/icdmw.2018.00082" @default.
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