Title | A Classification Method of Power Unstructured Encrypted Data Based on Fuzzy Data Matching |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | He, Yang, Gao, Xianzhou, Liang, Fei, Yang, Ruxia |
Conference Name | 2022 3rd International Conference on Intelligent Design (ICID) |
Keywords | Classification algorithms, cryptography, data classification, Data models, filtering algorithms, Fuzzy Cryptography, fuzzy matching, Hash functions, Metrics, multi-keyword matching, power grids, pubcrawl, resilience, Resiliency, Scalability, Searchable encryption, Servers |
Abstract | With the development of the digital development transformation of the power grid, the classification of power unstructured encrypted data is an important basis for data security protection. However, most studies focus on exact match classification or single-keyword fuzzy match classification. This paper proposes a fuzzy matching classification method for power unstructured encrypted data. The data owner generates an index vector based on the power unstructured file, and the data user generates a query vector by querying the file through the same process. The index and query vector are uploaded to the cloud server in encrypted form, and the cloud server calculates the relevance score and sorts it, and returns the classification result with the highest score to the user. This method realizes the multi-keyword fuzzy matching classification of unstructured encrypted data of electric power, and through the experimental simulation of a large number of data sets, the effect and feasibility of the method are proved. |
DOI | 10.1109/ICID57362.2022.9969713 |
Citation Key | he_classification_2022 |