Abstract : In today’s rapidly changing technological environment, it is critical to protect knowledge databases, which are vast and elaborate. Conventional security techniques sometimes fail to manage speed, security, and data structures well at the same time. This paper proposes an improved model for improving data security in knowledge databases using the fast Huffman encoding algorithm. Huffman encoding not only shrinks the size of data but also hides some patterns to make it more difficult for unauthorized persons to access. In combination with encryption, the proposed approach provides both efficacy and strong security guarantees. The model is also capable of overcoming some of the major drawbacks of the conventional methods and enhancing the encryption capability and security of data. This paper describes the theoretical foundation of the model, how the model can be put into practice, and the proof of its efficiency. Studies show that it is much more secure and efficient than traditional approaches, as scientific studies prove. It has been seen that the proposed approach helps in minimizing the security issues and, at the same time, helps in managing the resources in a better way, which is a big boon in today’s world where huge volumes of data are being generated on a daily basis.

Keyword : Data Security, Knowledge Databases, Huffman Encoding, Data Compression, Encryption, Efficiency, Security Framework, Information Protection