Novel Approach for Data Encryption with Multilevel Compressive
Niravkumar Gadhiya, Shrinath Tailor, Sheshang Degadwala
Abstract
This research proposes a novel approach for data encryption employing a multilevel compressive strategy. The process initiates by reading heterogeneous data, followed by the conversion of the data into Base64 encoding. Subsequently, an encryption key is generated to secure the data, utilizing the Fernet encryption algorithm. The encrypted data is then subjected to compression using the zlib algorithm, introducing an additional layer of security and efficiency. The final step involves the storage of the encrypted and compressed data. The study also emphasizes the evaluation of the compressed data size, providing insights into the effectiveness of the proposed approach in optimizing storage and transmission requirements while ensuring robust data security. This multilevel compressive technique not only enhances data protection but also addresses the challenges of data volume and transmission efficiency in contemporary information systems.