扫描仪设备, 敏感信息, 可检索加密, 缺失值填补, KNN 算法

In order to improve the security of obtaining sensitive information, a searchable encryption algorithm for scanner device sensitive information is proposed. Firstly, a feature weighted grey correlation analysis method is adopted to fill in the missing data in the sensitive information of the scanner equipment, in order to obtain complete sensitive data. Secondly, based on the editing distance between sensitive data and user requested query data, the similarity coefficient between the two data is calculated, and a keyword index is constructed using sensitive data with a similarity coefficient greater than the threshold. The index data is sorted in descending order of similarity coefficient. Finally, the KNN(K-Nearest Neighbor) algorithm is used to encrypt and decrypt the keyword index data. The experimental results show that the algorithm has high information retrieval accuracy and good data encryption effect.

scanner equipment, sensitive information, retrieveable encryption, filling in missing values, K-nearest neighbor(KNN) algorithm