Dyadic Data Compression and Encryption in a Single Pass
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Solution Overview
Problem
Current data storage technologies face challenges in efficiently compressing and encrypting data simultaneously, leading to increased computational overhead and potential security vulnerabilities.
Innovation Solution
A system and method that simultaneously compresses and encrypts data by analyzing input data properties, creating a transformation matrix, transforming the data into a dyadic distribution, and combining the transformed data streams with security measures to protect against attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If compression and encryption are applied sequentially in two separate passes, then both compression and encryption can be achieved, but computational overhead and time requirements increase
Solution Approach 1:
The patent combines compression and encryption into a single unified algorithm that performs both functions simultaneously in one pass over the data, eliminating the need for separate sequential processing stages and reducing computational overhead
Solution Approach 2:
The unified algorithm serves multiple functions (compression and encryption) within a single processing framework, making the system multi-functional and eliminating the need for separate dedicated processes for each operation
2Quantity of substance
If traditional compression algorithms are used to reduce data size, then compression efficiency is improved, but no security benefits are provided and data structure information may be leaked
Solution Approach 1:
The algorithm merges compression and encryption operations into a single process where data is transformed and compressed simultaneously, ensuring that security is built into the compression process itself rather than added as a separate step
3Reliability
If encryption algorithms are used to secure data, then security is improved, but data size increases due to padding and cryptographic elements
Solution Approach 1:
The unified algorithm integrates encryption with compression, allowing the encrypted data to be compressed in the same pass, thereby avoiding the data size increase that would result from applying encryption alone without subsequent compression
4Productivity
If a unified compression and encryption approach is implemented, then computational efficiency is improved, but the system complexity increases
Solution Approach 1:
The unified algorithm is implemented through distinct functional modules including a transformation module that applies mathematical transformations, a compression module that reduces data size, and a security module that ensures cryptographic security, allowing complex functionality to be organized into manageable segments
Data Source
AI summary
A system and method for simultaneous compression and encryption of data. The system analyzes input data to determine its properties and creates a transformation matrix based on these properties. Using this matrix, the input data is transformed into a modified distribution, generating a main data stream of transformed data and a secondary stream of transformation information. The main data stream is compressed, and both streams are combined into a single output. The system implements security measures to protect against various attacks, including side-channel vulnerabilities. By using a dyadic distribution algorithm, the system achieves both compression and encryption in a single pass over the data, offering significant efficiency gains. The system can operate in both lossless and lossy modes, providing flexibility for different application requirements. This approach offers a unique solution for data transmission and storage scenarios where both data reduction and security are critical concerns.