WiMi Announced a Blockchain Data Encryption Technology Based on Machine Learning and Fully Homomorphic Encryption Algorithm

Core Viewpoint - WiMi Hologram Cloud Inc. has introduced a comprehensive blockchain data encryption solution that integrates machine learning and fully homomorphic encryption to enhance data protection while ensuring transparency and tamper-proofness in blockchain applications [1][5][6] Group 1: Technology Overview - The solution utilizes fully homomorphic encryption (FHE), allowing operations on encrypted data without decryption, thus maintaining data privacy while enabling complex computations [2][4] - Machine learning is applied for intelligent key management, threat detection, and risk assessment, enhancing the security and adaptability of encryption systems [3][4] Group 2: Application Scenarios - The technology can be used in privacy-protected transactions, private smart contracts, cross-chain data exchange, and on-chain data analysis, ensuring that sensitive information remains encrypted and accessible only to authorized parties [4][5] - In multi-chain environments, FHE ensures that data exchanged between different blockchains remains encrypted, preventing data leakage and supporting secure collaboration [4][5] Group 3: Industry Impact - The integration of advanced encryption and AI technologies aims to provide robust data protection for blockchain ecosystems, promoting the development of more secure and practical blockchain applications [5][6] - The solution addresses the growing complexity of application scenarios in the blockchain space, balancing privacy protection with the inherent transparency of blockchain technology [5][6]