Data lossless compression and encryption transmission method based on joint middleware

By using a compression algorithm and encryption processing based on a raw-middleware dual dictionary, the problem of traditional algorithms failing in large-scale data transmission is solved, achieving efficient lossless data compression and encrypted transmission, and improving bandwidth utilization.

CN115395961BActive Publication Date: 2026-05-01HUAZHONG UNIV OF SCI & TECH +1
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Patent Information

Application Number
CN202211000663.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-08-19
Publication Date
2026-05-01
Estimated Expiration
2042-08-19

AI Technical Summary

Technical Problem

Traditional character compression algorithms fail during transmission in co-simulation middleware due to the explosive growth of the dictionary exponent, resulting in reduced encryption algorithm performance and making them unsuitable for large data transmission.

Method used

A compression algorithm based on a raw-middleware dual dictionary is adopted, adding only data whose frequency reaches a set value to the dictionary, and combining Huffman coding and DES/RSA encryption processing to design a compression transmission plugin for the joint middleware.

Benefits of technology

It improves the compression ratio, reduces the amount of data transmitted, enhances bandwidth utilization, and solves the problem of compression algorithm failure in the transmission of large amounts of data.

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Abstract

This invention discloses a lossless data compression and encrypted transmission method based on federated middleware, belonging to the field of computer application technology. The method includes: performing run-length encoding on the data to be processed based on federated middleware to obtain first compressed data; processing the first compressed data using a compression algorithm based on a raw-middleware dual dictionary to obtain second compressed data. This compression algorithm uses both the raw dictionary and the middleware dual dictionary, adding only values ​​that appear at a set frequency to the dictionary; sequentially performing Huffman coding and DES processing on the second compressed data to obtain encrypted data and a key; performing RSA processing on the key to obtain an encrypted key; and transmitting the encrypted data and the encrypted key to the target end using an encrypted compression transmission plugin of an experiment-and-train-enabled architecture. This method achieves lossless data compression and encryption based on federated middleware, with fast algorithm speed and high security.
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