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This study describes a data compression technique that combines compression and encryption procedures based on the Advanced Encryption Standard (AES-256). The image to byte compression and encryption program guarantees strong data security and great storage efficiency by constantly adapting to different data kinds with the use of 3d modelled images. The data to byte conversion (RGB type) algorithm’s efficacy is measured using compression efficiency, encryption strength, and computing overhead. Its practical uses include safe storage, data transfer, and sensitive information archiving, notably in the healthcare, banking, and government sectors. The compression algorithm satisfies the simultaneous objectives of data security and storage efficiency by improving converting text to image, data management system security, lowering storage costs, and increasing data transmission speeds, making it a flexible solution to modern data management difficulties.

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Secure Data Transformation: AES-256 Encryption, Image-Based Storage, and Efficient Compression for Modern Data Management

  • 会议论文

  • 发表日期：

    2026年

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  • Rahulkrishnan Ravindran,
  • Sabarinath Udaykumar,
  • Sidharth R Krishna,
  • Kalakunnath Namitha

摘要

This study describes a data compression technique that combines compression and encryption procedures based on the Advanced Encryption Standard (AES-256). The image to byte compression and encryption program guarantees strong data security and great storage efficiency by constantly adapting to different data kinds with the use of 3d modelled images. The data to byte conversion (RGB type) algorithm’s efficacy is measured using compression efficiency, encryption strength, and computing overhead. Its practical uses include safe storage, data transfer, and sensitive information archiving, notably in the healthcare, banking, and government sectors. The compression algorithm satisfies the simultaneous objectives of data security and storage efficiency by improving converting text to image, data management system security, lowering storage costs, and increasing data transmission speeds, making it a flexible solution to modern data management difficulties.