Our Products
Data privacy and integrity protection SDK
Target customers
- IC chip and module vendors
- IoT connectivity platforms
- Cloud / Server side application developers
Server / Cloud Side Features
- Calculate the hash value of the data, sign and send them into corresponding blockchain
- Record data authorization and sharing activities via blockchain smart contracts
- Data audit SDKs for server/client side application to easily validate the data traceability and integrity through blockchain
- Dappley can also be linked to other blockchains via conversion SDKs
Device Side Features
Save the private key in the trusted executive environment or similar conditions to ensure that even the original manufacturer could not read the private data
Work for battery powered devices as well
Encryption and signature process takes 2~4 seconds (no hardware acceleration), < 0.5 seconds (hardware acceleration) with MCUs similar to Cortex M33, ~ 1 seconds with eSim card
Protect both information and the firmware itself
Optimize for different MCUs to achieve the best performance with the minimum memory utilization (<8k RAM)
Multiple encryption algorithms available
Dappley
Target customers
- System integrators
- Product Vendors
- Customer owns its blockchain and manages the data privacy policy
Features
Consensus mechanism: D (POS + POX), X could be multiple business case related factors
Transactions per second > 1000
Concurrent request handling: up-to 1000
Block producing intervals: 3 seconds to 10 minute
Key Technology
Data and Algorithm Collaboration Platform
Work Flow
- Requestor selects algorithm and computing provider
- The requestor select data collaborator
- The requestor send xID data to the computing provider
- The requestor send request to the data collaborator for the authorization of the data
- Data collaborator send xID data to the computing provider
- Final results are sent to the requestor
All transactions are recorded in blockchain
Critical info are anonymous, other data are transparent once they are authorized to share
Suitable for joint credit valuation, joint marketing and user acquisition, and any big data applications where data privacy is critical.
Features
When it is required to be completely anonymous, SMPC could be used
Typical calculation speed: Training process: using linear regression as example, 10 minutes for 1 million records, 1~2 minutes for 100K records
So far, only intersection and linear regression algorithms are available
Typical calculation speed: Calculation process: 1~5 seconds for > 1 million records
The business flow is similar to xID process, all transactions and data authorization records are recorded in the blockchain as well
Our Specialization
You can use these sections to highlight the features of heading. Use these paragraphs to focus on the topic you want. Make sure you keep it short and attractive.
Architecture
A short description of this quality. Make these lines enticing enough to prove that you are the best in all you do.
Exterior Design
A short description of this quality. Make these lines enticing enough to prove that you are the best in all you do.
Landscape Design
A short description of this quality. Make these lines enticing enough to prove that you are the best in all you do.
Planning
A short description of this quality. Make these lines enticing enough to prove that you are the best in all you do.
Furniture Design
A short description of this quality. Make these lines enticing enough to prove that you are the best in all you do.
Interior Design
A short description of this quality. Make these lines enticing enough to prove that you are the best in all you do.