This paper presents a novel system architecture designed to address the challenges in current data compression and encryption techniques. The proposed architecture integrates advanced data deconstruction and reconstruction engines with a robust library management module to enhance both efficiency and security in data handling. Key features of the system include data shuffling for enhanced security, adaptive algorithm selection for optimized performance, and the use of Huffman coding for effective data compression. The system is designed to be scalable and adaptable to various data types, making it suitable for applications in data storage optimization, network transmission efficiency, and cybersecurity. The paper also discusses the system's applications in different domains, such as cloud storage, secure communications, and data mining, highlighting its potential to meet modern data processing and security requirements.

Zhang Zuoshu. Advanced Data Compression and Encryption System Architecture for Modern Data Processing Needs. International Journal of Frontiers in Engineering Technology (2025), Vol. 7, Issue 3: 43-50. https://doi.org/10.25236/IJFET.2025.070307.

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