BitXMesh is a blockchain-native data collaboration platform developed by Hyperchain Technology. The platform aims to provide data right confirmation, incentives, and privacy protection during the process of data sharing. This is achieved by utilizing state-of-the-art cryptographic algorithms and distributed ledger technology.
The distributed storage of data, coupled with the lack of confidentiality, greatly limits the usability of data.
BitXMesh employs a Federated Computing-Blockchain hybrid architecture that addresses the privacy problem and enhances the value of data.
Smart contracts control how data is used and enable sharing of different data depending on its usage. Blockchain guarantees traceability of data flow and usage.
A decentralized storage network liberates data from silos and provides a safer way to convey its value.
Equations are calculated using garbled data that applies state-of-the-art cryptographic methodologies to protect accuracy and confidentiality.
Combine data from multi-party for distributed computing, supports a variety of general and specific MPC algorithms, and meets more than 90% of business scenario requirements.
We build a completely decentralized P2P data sharing network to keep original data in database. The platform is featured by higher scalability, disaster tolerance and anti-attack capability.
Smart contracts enable fine-grained permission control, and all subsequent data is tampering-proof by recording exchange records on the blockchain. This allows for enabling data use and circulation to be traced and audited.
Secure data sharing is achieved at each key node through TLS channel encryption and high-availability node backup. Trusted execution environments, MPC and other technologies are introduced to ensure privacy in data computing.
Credit agencies can establish their own models and combine them with private secure aggregation algorithms to obtain accurate results.
Blockchain records can be used to verify disputes regarding the accuracy of credit reporting data.
This provides a more accurate credit rating, improves the efficiency of credit inquiries, and reduces maintenance expenses.
Distributed multi-center interconnection provides functions such as data storage, data transmission, and data analysis
Personal medical records are privately transferred among medical institutions, and the use records are traceable.
This improves the efficiency and quality of healthcare services and provides strong technical support for personal health management
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