Full-text retrieval mechanism based on count bloom filter and inverted table

This paper analyzes the security deficiencies of the plaintext index in detail, and carries on the security transformation and proposes an improved ciphertext inverted index structure on this basis by studying the index technology existing in the database and full-text search, and combining the information security technology. In the improved ciphertext inversion index, the key words in the vocabulary are double-encrypted to ensure security. Inverted lists are expressed in the form of linked lists, and stored randomly by document to prevent inverted lists from being cracked. A hash table based on counting Bloom filter extension is used to optimize the keyword query of vocabulary. By combining full-text retrieval technology and encryption technology, a secure full-text index is constructed to realize the retrieval and utilization of ciphertext information under the condition of data information encryption. This paper focuses on the inverted indexing technology widely used in databases and full-text retrieval systems, and discusses its improvement strategies in information security.