A distributed classification method and system for ciphertext data in a cloud environment
A classification method and cloud environment technology, applied in the transmission system, digital data protection, electronic digital data processing, etc., can solve the problems of data privacy leakage, lack of credibility, limited data samples, etc., to ensure computing efficiency and privacy Sexuality, the effect of ensuring efficiency
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[0077] Problems involving cipher text classification: Many text data cannot be classified in the first place (maybe due to the vague concept), in order to be able to classify text, it needs to be calculated with big data text. However, it is not convenient for many texts to disclose their plaintext data, so we can use the filtered high-frequency words as feature items for classified texts, and the number of selected high-frequency words represents the feature vector dimension of this text. For example, select N words W1, W2, W3...WN. When the word W1 exists in an article, write down the feature value in the dimension represented by W1 (generally use the tf-idf algorithm), and record it if it does not exist. 0. This vector and the ciphertext data stored in the cloud are used for the calculation of this scheme, and the classification result is obtained.
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