Secure Blockchain-Integrated Deep Learning Framework for Generative AI Model
N Maheswaran, G Vijayaraj, G Logeswari, Bose S, G Gokulraj, Prabhu D · 2025
Generative AI is an advanced AI subset designed to create new data resembling existing data, widely applied in text generation, image synthesis, and predictive modeling to enhance automation and creativity across industries. Deep learning, particularly Long Short-Term Memory (LSTM) networks, plays a crucial role in generative AI, as LSTM effectively processes sequential data, making it essential for tasks like natural language processing and time-series forecasting. Data security is critical in generative AI, especially when handling sensitive information. Encryption techniques such as Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) ensure data security before processing, with AES providing fast encryption and RSA enabling secure key exchanges. Homomorphic encryption allows AI models to process encrypted data without decryption, maintaining confidentiality. Blockchain technology further enhances data security through a decentralized and immutable ledger for verification, employing smart contracts and cryptographic hashing to ensure data integrity. Blockchain-based identity management systems authenticate inputs while preventing unauthorized access, preserving both privacy and security. Implementing encryption and blockchain mechanisms does not compromise generative AI model accuracy, achieving 92.75% accuracy through rigorous testing, validated using benchmarking datasets and performance evaluation metrics. The integration of encryption and blockchain ensures robust data security while maintaining high accuracy.