Research on fuzzy search algorithm of Chinese word meaning ciphertext
In order to solve the semantic fuzzy search problem of ciphertext data in cloud storage,a fuzzy search algorithm for Chinese word sense in cloud storage ciphertext was designed.The Word2vec lightweight neural network was used to transform the words into structured vectors,and the similarity of the words was measured to expand the set of Chinese synonyms of the keywords.And then,based on the Bloom filter,the location-sensitive hash function was used to construct the file index and search trapdoor,so as to realize the secure storage of keywords and the retrieval support for multi-keywords.After the location sensitive hash function mapping,the file ID was combined to calculate the two rounds of hash value for confusion and the MD5 value was introduced in the file en-cryption process to realize the file integrity verification.The oretical analysis and simulation results show that the designed ciphertext fuzzy search algorithm can realize multi-keyword ciphertext fuzzy search based on Chinese word sense.
万方数据
维普
