Huffman Tree Encryption for Simultaneous Data Compression
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Solution Overview
Problem
Existing data compression and encryption methods are inefficient when applied sequentially, as compression cannot be performed on encrypted data, leading to security vulnerabilities and loss of compression efficiency.
Innovation Solution
A system and method that integrates Huffman tree coding with encryption, using a known encryption key to select nodes for transformation, ensuring secure and efficient compression by applying transformations like mirror, swap, and level-swap to Huffman trees, while maintaining compression ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If compression is applied before encryption sequentially, then compression efficiency is improved, but security is worsened because the compressed data structure may reveal information about the original data
Solution Approach 1:
The patent merges compression and encryption into a single simultaneous operation. The encryption key influences the Huffman coding process directly, so that compression and encryption occur together in one pass rather than sequentially. This eliminates the security vulnerability of compressed data structures while maintaining compression efficiency.
Solution Approach 2:
The patent performs preliminary encryption-influenced compression by using the encryption key to guide the Huffman coding process before the data is fully encoded. This preliminary action ensures that the compression process itself is encrypted, preventing information leakage about the original data structure.
2Reliability
If encryption is applied first then compression, then security is improved, but compression efficiency deteriorates because encrypted data appears random and cannot be compressed
Solution Approach 1:
The patent combines encryption and compression into a single simultaneous process. The encryption key directs the Huffman coding assignments, allowing the data to be compressed while simultaneously encrypted. This resolves the contradiction by achieving both security and compression efficiency in one operation rather than sequentially.
3Device complexity
If separate compression and encryption processes are used sequentially, then implementation simplicity is improved, but processing time increases and both functions cannot be achieved simultaneously
Solution Approach 1:
The patent merges two separate processes (compression and encryption) into a single unified process. By using the encryption key to influence the Huffman coding process directly, the system achieves both compression and encryption in one pass, reducing processing time while maintaining implementation feasibility.
Solution Approach 2:
The unified algorithm serves multiple functions simultaneously: it compresses data using Huffman coding while also encrypting it through key-influenced node selection. This multi-functionality eliminates the need for separate sequential processes, reducing overall processing time.
Data Source
AI summary
A method for a compression scheme comprising encryption, comprising: receiving, as input, data comprising a plurality of data elements; constructing a Huffman tree coding representation of the input data based on a known encryption key, wherein the Huffman tree comprises nodes that are compression codes having compression code lengths corresponding to respective occurrence probabilities of the data elements, and wherein the encryption key specifies a subset of the nodes to be selected for an encryption process; selecting the subset of nodes in the Huffman tree for the encryption process, based on the encryption key; applying, to each sub-tree of the Huffman tree that is rooted at one of the nodes in the subset, a specified transformation, based on the encryption key; and generating an output data file based, at least in part, on the applying.