An Efficient Multi-user Integrity and Multi-level Attribute Encryption and decryption framework for audio block-chain communication systems

Abstract

As the volume of audio data increases in real-time applications, securing this data through effective encryption and decryption becomes paramount.  The main goal of this research is to protect large volumes of audio data from unauthorized access and intrusion.  Traditional techniques like advanced chaotic and attribute-based encryption models are widely used for blockchain encoding but are susceptible to man-in-the-middle attacks, especially with large, compressed audio datasets.  To address this, we propose a novel multi-user integrity-based blockchain framework that embeds encoding and decoding processes directly within the encryption model. "This innovative framework ensures real-time encryption of large-scale audio data with robust integrity checks, providing a safeguard against tampering during both transmission and storage. These integrity checks are embedded within the encrypted audio to verify data integrity throughout the process.  Extensive experiments have been conducted to rigorously evaluate the performance of the proposed model. Key indicators such as embedding efficiency, decryption time, accuracy, and resistance to security attacks have been measured and compared with other encryption techniques, showcasing the effectiveness and security of the framework in protecting audio data.