What is Arpa Chain (ARPA)?
Arpa chain (ARPA) is a Blockchain-based 2-layer solution computing network that ensures personal privacy using MPC (Multi-Party Computation) technology. Founded in April 2018, the ARPA team aims to isolate data usage and ownership and allow data leasing. ARPA’s MPC protocol allows multiple parties to analyze and extract aggregated data sources while ensuring the data source is safe and private. ARPA allows the sharing of personal data to be private and ensures accuracy of computing power.
What is ARPA TOKEN used for?
The ARPA token is used for calculation costs, data and model usage fees, security deposits, community administration, etc. The ARPA token is currently running on the Ethereum network. Some immediate use cases include: Credit Anti-fraud, secure data wallets, accurate marketing, general AI model training, key management systems, etc.
Application of Arpa
Fintech & Insurance
ARPA helps credit anti-fraud. It allows financial institutions to search blacklists to be shared or run general risk analysis on browsers without disclosing their own information.
With ARPA, advertisers can run ads to precisely target their target audience with relevant products based on a broad spectrum of user behavior without compromising user privacy.
Personal data wallet
Users can manage sensitive personal data, identify data policies and authorize service providers in the form of encrypted information at their convenience.
AI / Healthcare / Other
Secure Multi-Party Computation allows a group of parties to calculate a function on their inputs while keeping them private. The accuracy of the calculations can be verified even in the most malicious condition by using secret sharing and Theoretical Message Authentication Code (MAC).
ARPA aims to improve blockchain in the following aspects:
The safety computation calculation is done safely so that no participating node learns more than its specified output.
Verifiable Calculations Calculations can be publicly audited and their accuracy can be substantiated. Therefore, it is possible to outsource calculations from the blockchain network.
Layer2 solution combines safe and verifiable calculations, heavy calculations are performed off-chain. Basically, this makes our secure computing protocol adaptable to any existing blockchain network.
ARPA extensibility is designed as a layer2 solution. Networks on the chain will never reach the computational limit. Therefore, we can improve the scalability of computing and TPS (transactions per second) of any network. The computing power is increased linearly to the participating nodes.
Efficiency Implement advanced MPC protocol used to speed up secure computing.
The world’s first universal MPC Network available for secure computing. With high availability and low cost, we promote data security and privacy practices that are difficult to achieve.
ARPA is a team of global business researchers and developers. All members of the group have studied and worked abroad such as at Google, UbE, Amazon, … or graduated from prestigious schools such as Tsinghua University, CMU, UMich, NYC, GWU, … In terms of research Research and application, ARPA cooperates closely with professors from NYU, Zhejiang, Hong Kong Polytechnic. In Blockchain’s field, ARPA receives the advice of experienced experts who have worked at Blockstream, TechCrunch, and many advisors from leading cryptocurrency investment funds.
Pro.Quinming He – Dean of CS Department at Zhejiang University
Prof.Panos Ipeirotis – Professor of Information Department at New York University
Qingxia Zhang – Head of IBM Global Technology Services, China
Michael Arrington – Founding partner of Arrington XRP, founder of TechCrunch
Although the idea of ARPA is not a new idea in the field of Blockchain, but with remarkable achievements in many aspects such as partners, investors, practical applications. ARPA deserves a project that is monitored and reviewed for investment. The ARPA team is very active and ARPA announces that there will be many strong development plans for the community, partners and applications in the future.