Data Sheet 1_An AI-based blockchain framework with AES–RSA hybrid encryption for secure data sharing in smart environments.pdf

Although blockchain, cryptography, and artificial intelligence (AI) have demonstrated potential for addressing these challenges, existing approaches often employ these technologies separately, limiting their ability to provide intelligent, scalable, and comprehensive security.</p>Methods<p>This study proposes an AI-driven blockchain framework integrated with AES–RSA hybrid encryption for secure data sharing in smart environments.

Lightweight AI models are employed to classify heterogeneous files and detect anomalous activities before encryption and blockchain registration. AES is used for efficient data encryption, while RSA provides secure encryption and distribution of AES session keys. Blockchain technology is employed to support decentralized integrity verification, traceability, trusted data management, and immutable auditing.</p>Results<p>The proposed framework was empirically evaluated using heterogeneous datasets containing files of different sizes and types.