Secure-AI-Shield Model Leveraging Advanced Transformer Networks for Enhancing Cybersecurity in Blockchain Applications

Many artificial intelligence (AI) algorithms look for useful patterns using the data. Data on the Internet is spread around and controlled by separate subgroups of people that do not necessarily trust each other, making it hard to authorize and validate use of data in cyberspace bureaucracy for AI and big data. This paper presents the Secure-AI-Shield (SAI-S) model, an architecture that allows secure storage, computation and sharing of large scale data via Cloud platform. Its intent is to establish a more secure cyberspace with abundant data resources that can improve AI. The model integrates three essential components: first, a blockchain-based data-sharing mechanism that guarantees ownership, enabling reliable data sharing to generate substantial datasets; second, an AI-driven secure computing platform that formulates advanced security protocols, contributing to a more trustworthy cyberspace; and third, a reliable value-exchange system for acquiring security services, which incentivizes participants to share their data or services in exchange for economic rewards, thereby promoting data sharing and improving AI performance. In addition, we analyse its alternative deployment, conventional application scenario of the SAl-S Model, and its effectiveness in addition to network security and economic profitability aspects.