Mass data compression, encryption, storage and retrieval system and using method thereof

Abstract

The invention provides a mass data compression, encryption, storage and retrieval system and a using method thereof. The system comprises a document structured processing module used for performing unified formatting processing on an original document, a data compression and encryption module used for compressing, encrypting and storing the document subjected to the formatting processing, the original document and a retrieval structure, a compressed ciphertext retrieval module used for retrieving the compressed, encrypted and stored documents, and a management tool used for managing the system, wherein the document structured processing module operates on a computer of a client; the data compression and encryption module and the compressed ciphertext retrieval module operate on a computerof a server; and the management tool operates on a computer of a management console. By organically combining the compression and encryption technology, the ciphertext can be effectively retrieved under the condition of not decompressing or decrypting documents to be retrieved.

Description

technical field [0001] The invention belongs to the field of computer information security, and in particular relates to a method for compressed and encrypted storage of electronic documents and a secure retrieval method for compressed ciphertext data. Background technique [0002] With the development of information technology, various units have accumulated unprecedented levels of office, scientific research and production data, some of which are confidential data. How to effectively and securely store and transmit these massive amounts of confidential data on the network and how to safely and quickly find the required information from these massive amounts of data are all difficult problems faced by users. [0003] Existing electronic document security technologies and products generally borrow the file management mechanism of the operating system and use simple file encryption methods to provide security. Generally, technologies such as file format conversion, folder en...

AI Technical Summary

Problems solved by technology

In order to solve the shortcoming that the existing ciphertext index takes up too much space, the University of California proposes to encrypt the text data by using the sequence encryption method, and directly search the encrypted text for keywords without decryption

It does not use an index table, but the disadvantage is that the entire ciphertext document needs to be searched sequentially during retrieval

[0007] Data compression and query rely on the codeword "dictionary" data structure, while ciphertext retrieval relies on the ciphertext index data structure. If they are not organically integrated, two data structures need to be maintained at the same time, which will lead to increased storage space and difficult management

Since the compression algorithm adopts the idea of ​​"bit" compression, and the ciphertext index is queried on the basis of "words", this brings difficulties to their fusion

In addition, even if the user accesses a small amount of data in the document, the entire document must be decrypted and decompressed, resulting in low efficiency of the entire system and significantly increasing the network burden

[0008] At present, there are very few studies on the combination of compression and encryption technology, and the only research is only to implement the two serially, lacking an organic fusion mechanism

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