System and method for dyadic distribution-based compression and encryption
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.
1. A system for simultaneous compression and encryption of data, comprising:
a computing device comprising at least a memory and a processor;
a plurality of programming instructions stored in the memory and operable on the processor, wherein the plurality of programming instructions, when operating on the processor, cause the computing device to:
analyze an input data stream to determine its properties;
create a transformation matrix based on the properties of the input data;
transform the input data into a modified distribution using the transformation matrix;
generate a main data stream of the transformed data and a secondary data stream of transformation information;
compress the main data stream;
encrypt the secondary data stream; and
combine the compressed main data stream and the encrypted secondary data stream into an output stream.
2. The system of claim 1 , wherein transforming the input data into a modified distribution comprises transforming it into a dyadic distribution.
3. The system of claim 1 , wherein compressing the main data stream comprises using Huffman coding.
4. The system of claim 1 , wherein encryption of the secondary data stream comprises providing cryptographically secure random numbers for use in data transformation.
5. The system of claim 1 , wherein the plurality of programming instructions further cause the computing device to implement an dyadic distribution algorithm for transforming the input data.
6. The system of claim 1 , wherein combining the compressed main data stream and the secondary data stream comprises interleaving the two streams.
7. The system of claim 1 , wherein the plurality of programming instructions further cause the computing device to perform the compression and encryption in a single pass over the input data.
8. The system of claim 1 , wherein analyzing the input data stream comprises determining statistical properties of the data.
9. The system of claim 1 , wherein the plurality of programming instructions further cause the computing device to operate in a lossless mode where both the main data stream and the secondary data stream are included in the output stream.
10. The system of claim 1 , wherein the plurality of programming instructions further cause the computing device to operate in a lossy mode where only the main data stream is included in the output stream.
11. The system of claim 1 , wherein the plurality of programming instructions further cause the computing device to operate in a modified lossless mode wherein the main data stream is included in a first output stream and the secondary data stream is included in a second output stream.
12. The system of claim 10 , wherein the plurality of programming instructions further cause the computing device to estimate the quality of the compressed and encrypted data compared to the original input data.
13. A method for simultaneous compression and encryption of data, comprising the steps of:
analyzing an input data stream to determine its properties;
creating a transformation matrix based on the properties of the input data;
transforming the input data into a modified distribution using the transformation matrix;
generating a main data stream of the transformed data and a secondary data stream of transformation information;
compressing the main data stream;
encrypting the secondary data stream; and
combining the compressed main data stream and the encrypted secondary data stream into an output stream.
14. The method of claim 13 , wherein transforming the input data into a modified distribution comprises transforming it into a dyadic distribution.
15. The method of claim 13 , wherein compressing the main data stream comprises using Huffman coding.
16. The method of claim 13 , wherein encryption of the secondary data stream comprises providing cryptographically secure random numbers for use in data transformation.
17. The method of claim 13 , further comprising the step of implementing a dyadic distribution algorithm for transforming the input data.
18. The method of claim 13 , wherein combining the compressed main data stream and the secondary data stream comprises interleaving the two streams.
19. The method of claim 13 , w further comprising the step of performing the compression and encryption in a single pass over the input data.
20. The method of claim 13 , wherein analyzing the input data stream comprises determining statistical properties of the data.
21. The method of claim 13 , further comprising the step of operating in a lossless mode where both the main data stream and the secondary data stream are included in the output stream.
22. The method of claim 13 , further comprising the step of operating in a lossy mode where only the main data stream is included in the output stream.
23. The method of claim 13 , further comprising the step of operating in a modified lossless mode wherein the main data stream is included in a first output stream and the secondary data stream is included in a second output stream.
24. The method of claim 22 , further comprising the step of estimating the quality of the compressed and encrypted data compared to the original input data.
25. Non-transitory, computer-readable storage media having computer-executable instructions embodied thereon that, when executed by one or more processors of a computing system employing dyadic distribution-based compression and encryption platform, cause the computing system to:
analyze an input data stream to determine its properties;
create a transformation matrix based on the properties of the input data;
transform the input data into a modified distribution using the transformation matrix;
generate a main data stream of the transformed data and a secondary data stream of transformation information;
compress the main data stream;
encrypt the secondary data stream; and
combine the compressed main data stream and the secondary data stream into an output stream.
26. The non-transitory, computer-readable storage media of claim 25 , wherein transforming the input data into a modified distribution comprises transforming it into a dyadic distribution.
27. The non-transitory, computer-readable storage media of claim 25 , wherein the computing system is further caused to operate a lossless mode where both the main data stream and the secondary data stream are included in the output stream.
28. The non-transitory, computer-readable storage media of claim 25 , wherein the computing system is further caused to operate in a lossy mode where only the main data stream is included in the output stream.