Cryptographic and Blockchain-Based Artificial Intelligence Frameworks for Secure Data Processing in Distributed Cloud Networks
Keywords:
Cryptographic Frameworks, Blockchain, Artificial Intelligence, Distributed Cloud Networks, Data Security, Decentralized SystemsAbstract
The integration of cryptographic techniques and blockchain technology with artificial intelligence (AI) frameworks has emerged as a promising solution for secure data processing in distributed cloud networks. This paper explores the design and implementation of such frameworks, focusing on their ability to enhance data integrity, confidentiality, and availability. By leveraging blockchain's decentralized nature and cryptographic security, AI-driven systems can process sensitive data in distributed environments without compromising privacy. This study reviews existing literature, proposes a novel framework, and evaluates its performance through simulations. The results demonstrate significant improvements in security and efficiency, making the framework suitable for applications in healthcare, finance, and IoT.
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Copyright (c) 2025 Yoshiki Akimoto (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
