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METHOD AND APPARATUS FOR DETECTING ANGLE-BASED PRIVACY PRESERVING OUTLIER

机译:检测基于角度的隐私保护异常的方法和装置

摘要

The subject having a high dimensional normal data generates a weight vector corresponding to a mapping matrix and a low dimensional data from the normal data through principal component analysis, and generates a cipher text for each row value of the mapping matrix. Then, the ciphertext and the weight vector are disclosed. Then, a device for checking an outlier for test data receives a secret key for the test data from a trusted subject, and then calculates a weight vector for the test data using the published ciphertext and the weight vector. The angle-based outlier factor (ABOF) is calculated using the weight vector of the test data and the published weight vector to determine whether the test data is an outlier.
机译:具有高维正常数据的对象通过主成分分析从正常数据生成对应于映射矩阵的权重向量和低维数据,并为映射矩阵的每个行值生成密文。然后,公开了密文和权重向量。然后,用于检查离群值以用于测试数据的设备从受信主体接收用于测试数据的秘密密钥,然后使用公开的密文和权重向量来计算测试数据的权重向量。使用测试数据的权重矢量和发布的权重矢量计算基于角度的离群因子(ABOF),以确定测试数据是否为离群值。

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