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7-7 Long Term Cryptography and Applications to Privacy-Preserving Data Mining

机译:7-7长期密码学及其在隐私保护数据挖掘中的应用

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摘要

We develop a technique called Security-updatable Public-key Homomorphic Encryption with Rich Encodings (SPHERE), enabling both homomorphic operations and security-updatability over encrypted data. By SPHERE, it is possible to protect private data for the long term, while enabling the utility of encrypted data. We demonstrate that SPHERE can be useful in privacy-preserving data mining, especially when the data come from medical sources containing genomic information.
机译:我们开发了一种称为“具有丰富编码的安全可更新的公钥同态加密(SPHERE)”的技术,可以对加密数据进行同构操作和安全性提高。通过SPHERE,可以在保护加密数据实用性的同时,长期保护私有数据。我们证明SPHERE在保护隐私的数据挖掘中很有用,尤其是当数据来自包含基因组信息的医学来源时。

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    Security Fundamentals Laboratory, Cybersecurity Research Institute Design and Analysis of Cryptographic Protocols;

    Security Fundamentals Laboratory, Cybersecurity Research Institute Cryptanalysis, Lattice Theory;

    Security Fundamentals Laboratory, Cybersecurity Research Institute Cryptanalysis, Efficient Implementation;

    Security Fundamentals Laboratory, Cybersecurity Research Institute Design and Analysis of Cryptographic Protocols;

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