Web3 Node Edge AI Privacy-Preserved Zero-ID Transactions
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Solution Overview
Problem
Existing decentralized blockchain systems face limitations in providing strong privacy and confidentiality for transactions, especially when implementing blockchain-encoded smart contracts, as all smart contract instructions are available to all nodes on the network, compromising user privacy and data security.
Innovation Solution
The implementation of mobile Web3 nodes equipped with hardware root of trust and unique biometric binding, utilizing edge AI technology to enable privacy-preserved zero-ID transactions and create private chain networks for secure peer-to-peer communication, allowing users to control their digital identity and data sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain-encoded smart contracts are implemented for transactional policies, then transaction security and automation are improved, but privacy and confidentiality deteriorate because all smart contract instructions are available to all nodes
Solution Approach 1:
The patent segments the blockchain network into public and private components. Public blockchain handles transaction verification and consensus, while private blockchain segments handle confidential data storage and processing. This segmentation allows smart contracts to execute securely on the public chain while sensitive information remains protected on the private chain, resolving the contradiction between transaction security and privacy preservation.
Solution Approach 2:
The patent introduces permissioned nodes as intermediaries between users and the public blockchain. These permissioned nodes verify user identities, manage access controls, and filter transactions before they reach the public chain. This intermediary layer enables automated smart contract execution while preventing unauthorized access to confidential information, thus maintaining both transaction security and privacy.
2Ease of operation
If decentralized identity systems are used, then user autonomy and privacy are improved, but transaction policy enforcement deteriorates because anonymous keys cannot implement complex transactional policies
Solution Approach 1:
The patent merges decentralized identity management with permissioned blockchain technology. Users maintain autonomous control over their identities through self-sovereign identity mechanisms, while permissioned nodes provide the infrastructure for complex policy enforcement. This combination allows users to enjoy autonomy benefits while the system supports sophisticated transactional policies through layered permission management and identity verification protocols.
Solution Approach 2:
The patent adds a permission layer dimension to the traditional decentralized identity model. Instead of operating solely in the anonymous key space, the system introduces a vertical dimension of permission levels and access controls. This dimensional expansion enables complex transactional policies to be enforced while users retain autonomy over their identity data, as policies operate at the permission layer rather than compromising identity anonymity.
3Adaptability or versatility
If all nodes have access to smart contract instructions, then network transparency and decentralization are improved, but data security and confidentiality deteriorate
Solution Approach 1:
The patent segments the blockchain into public and private segments with different access permissions. The public segment maintains transparency by allowing all nodes to verify transaction validity and smart contract logic. The private segment protects confidential data by restricting access to authorized permissioned nodes only. This segmentation enables the network to simultaneously achieve transparency where needed and security where required, resolving the contradiction between network transparency and data confidentiality.
Solution Approach 2:
The patent applies different quality characteristics to different parts of the blockchain network. Public nodes receive full transparency with access to all smart contract instructions for verification purposes. Permissioned nodes receive selective access with enhanced security protocols for handling confidential data. This local quality differentiation allows the system to optimize for transparency in public-facing operations while maintaining security in data-sensitive operations, eliminating the need to choose between the two opposing requirements.
Data Source
AI summary
A system is provided which includes a plurality of users, each having a mobile Web3 node associated therewith, wherein each mobile Web3 node is equipped with a tangible, non-transient memory device having a set of software instructions recorded. The software instructions, when executed by at least one compute processor, perform the steps of establishing a hardware root of trust, establishing a biometric binding which is unique among the mobile Web3 nodes, and creating an AI with a user interface. The user interface receives input from a user and uses the input to generate privacy preserved zero-ID transactions, and to create a private chain network on the mobile Web3 node to establish and secure a P2P control channel for all communication with at least some of the plurality of users.