Wireless Network Slices for Secure AI Engine Coupling
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Solution Overview
Problem
Current data communication systems fail to selectively and securely couple distributed ledgers with Artificial Intelligence (AI) engines, particularly lacking the use of wireless user devices and radio access networks to securely load distributed ledgers with pertinent data for AI engines.
Innovation Solution
A method involving the use of wireless communication networks that include wireless access nodes and network slices with embedded AI engines, where user data is received from wireless communication devices, selectively transferred to AI engines within the network slices, and processed using hardware-trust codes for secure and selective coupling, leveraging Network Function Virtualization Infrastructure (NFVI) for data transfer and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed ledgers are coupled with AI engines using traditional data communication systems, then data transfer between ledgers and AI engines is achieved, but the coupling lacks selectivity and security mechanisms
Solution Approach 1:
The patent introduces a data communication system comprising a data output interface on the distributed ledger and a data input interface on the AI engine as intermediary components. These interfaces act as mediators that establish secure, selective coupling between the ledger and AI engine, enabling controlled data transfer while maintaining security protocols and preventing unauthorized access.
Solution Approach 2:
The coupling system is segmented into distinct functional components: the distributed ledger system, the data communication interface, and the AI engine. This segmentation allows each component to operate independently with defined interfaces, improving security by isolating potential vulnerabilities and enabling selective data transfer through controlled interface points.
2Productivity
If all data from distributed ledgers is transferred to AI engines, then comprehensive data processing is achieved, but data security and selective access control are compromised
Solution Approach 1:
The data communication system implements local quality by enabling selective data transfer based on specific criteria. The interface allows certain data to be transferred to the AI engine while restricting access to other data, creating different access qualities for different data portions. This selective coupling maintains security while enabling efficient processing of authorized data.
3Adaptability or versatility
If wireless communication networks are integrated into the data communication system, then remote AI engine access and flexibility are improved, but network security vulnerabilities and data transmission risks increase
Solution Approach 1:
The system performs preliminary security actions by establishing secure communication channels and authentication mechanisms before data transfer occurs. The data communication interface implements security protocols in advance, verifying the identity and authorization of AI engines before allowing data access, thereby preventing unauthorized access while maintaining flexible wireless connectivity.
Data Source
AI summary
A wireless communication network wirelessly receives a slice indicator from a wireless communication device. The wireless communication network selects an Artificial Intelligence (AI) engine based on the slice indicator. The wireless communication network may select the AI engine by selecting a wireless network slice that comprises the AI engine based on the slice indicator. The wireless communication network wirelessly receives user data from the wireless communication device for the wireless network slice. The wireless communication network transfers the user data to the selected AI engine. The selected AI engine generates an AI output based on the user data.