A
system and method for adaptive
data processing combining compression and
encryption. The
system analyzes input data characteristics, compares probability distributions, and creates a
transformation matrix to convert data into a dyadic distribution. It generates a main
data stream of transformed data and a secondary
stream of transformation information. The
system dynamically selects and applies
processing techniques, including transformation, encoding, compression, and
encryption algorithms, based on analyzed characteristics and real-time performance
metrics. It compresses the main
data stream using
Huffman coding and implements security measures to protect the output. A
feedback loop monitors technique effectiveness, updates a
knowledge base, and influences future selections. The system can operate in lossless, lossy, or modified lossless
modes, adapting to different application requirements. This approach offers an efficient solution for scenarios where both
data reduction and security are critical concerns.