- Introducing Dxchain
Project Name: DxChain Network
Token symbol: DX
The total number of Tokens to be issued: 100 000 000 000 DX
Total seller's token: 22 000 000 000 DX
Public Sale will begin at the end of July
The value of the token: 1 DX = 0.0014 $
Website: https://www.dxchain.com
Register KYC: https://t.me/DxChainBot?start=ctfi55-ctfi55
Whitepaper: https://docsend.com/view/8w3fman
Blog: https://medium.com/dxchainnetwork
Telegram: https://t.me/dxchain
Telegram (crowdsale details): https://t.me/dxchainchannel
Twitter: https://twitter.com/DxChainNetwork
Facebook: https://www.facebook.com/DxChain-179719632741800
YouTube: https://www.youtube.com/channel/UCNIWZiYjMKVjF1LIY9uIslg
DxChain is developing a decentralized big data and machine learning network.
The project is based on the premise that data is valuable and that data creators will be able to own and benefit from their own data. DxChain also aims to address major data issues such as privacy, ownership and security which support business applications.
Intelligent and self-learning machines (a type of AI technology). In short DxChain helps users make their dream of selling their data to large companies like Google or Facebook become reality and with blockchain technology, the cost of accessing and storing data becomes extremely low.
DxChain is based on the "Chain on Chain" model consisting of a master chain and two side chains. The idea of this model was inspired by Hadoop, a big, big data platform.
This model includes:
- Master Chain: Store owner information and important events such as status, transaction, receipt and contract. Master Chain uses Proof of Work technology for maximum safety and stability
- Data Side Chain (DSC): Contains information not the user's property, metadata
- Computation Side Chain (CSC): Contains computational tasks performed on the DxChain platform, and the Side Chain is responsible for recording the computational process, such as whether the task can be completed or not.
Key technology highlights:
Verification Game: Allows any calculation task to be performed safely while minimizing the required network node when performing the calculation. - Provable Data Computation (PDC): Allows the network to verify the accuracy of the calculation results. This is done by the Side Chain Computation in order to verify the authenticity of the result and to reduce the false information rate
- Proof of Spacetime (PoSt) & Provided Data Possession (PDP): Used as the consensus storage protocol. The Data Side Chain uses PoSt and PDP to verify the process and prevent network slower attacks
- Data Model Enables Privacy Preserving: Enables flexibility in retrieving data files
- What is progress?
Compared to the big data projects of the same type, DxChain put into his project some fairly new things such as Proof of Spacetime or the model Chains on Chain is quite special.
- How are the Tokens used in the project?
Token DX will be as payment method between participants in the DxChain network
Providers of computing and archiving resources when running applications and confirming different transactions will be rewarded with a DX token.
Miners will also receive DX tokens by the efficiency of their work
- Team
Allan Zhang, Co-Founder: With 10 years of security experience, network application and founder and CEO of Trustlook - a company that provides network security solutions for phones, PCs, ...
Wei Wang, Co-Founder & Chief Scientist: Previously worked as a blockchain researcher at AT & T and studied at many prestigious universities in the world such as Columbia University, the University of Pittsburgh and Carnegie Mellon University.
James Li, Co-Founder: Experience in building, designing models of blockchain. With more than 10 years of experience in network security, formerly Trustview's mobile security manager, security engineer at nCircle Network Security
And Quite a lot of advisor and partner reputation (specifically see the website)
- Advantages of the project
Concerned about the protection of personal data from Facebook's recent leaks. The European Union has just passed the GDPR showing how important personal data is
The team has been successful with Hadoop - a project on archiving and computational issues
The team has good technical background in areas related to big data, blockchain, ..
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