This video was prepared by the Official Russian Community «ARPA», with the participation of Nik Anikin (tg: @nik_mac) and the company "Blockchain ASTRAL» (COLIBRI PROJECTS) 🌍 Official resources ARPA: 🌍
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ARPA - A Privacy-Preserving Computation Network
ARPA is a Secure Computation Network Compatible With Blockchains
We propose a blockchain-based secure computation network of Multi-party Computation (MPC). ARPA cryptographically enables private smart contract, unprecedented data-at-use privacy protection, as well as scalable computational sharding
Privacy & Security
MPC allows a set of parties to jointly compute a function over their inputs while keeping them private. The correctness of computation is verifiable even under majority malicious condition
Flexibility & Compatibility
ARPA network is flexible, easy-to-use, and compatible with existing blockchains such as Ethereum and EOS. Let’s rethink blockchain for the real world: Privacy-preserving smart contracts at scale and data renting
Scalability & Efficiency
Lightning fast performance for mass adoption via verifiable computation. Off-chain computation network capable of industrial-level computation and storage
OUR MISSION:
1) Efficient private smart contract for DApp developers
2) Privacy-preserving individual & enterprise data renting
3) Highly scalable infrastructure via computational sharding
TECHNICAL OVERVIEW:
Secure Multi-party Computation (MPC) allows a set of parties to jointly compute a function over their inputs while keeping them private. The correctness of computation is verifiable even under majority malicious condition using secret sharing and information theoretic Message Authentication Code (MAC)
USE CASE:
Fintech & Insurance
Credit Anti-fraud
Financial institutions can search shared blacklists or perform joint risk analysis for borrowers without disclosing each party's private information
Secure Risk Analytics
Financial calculation agent can run risk analytics on client's encrypted data. Client's data is 100% invisible to agentFintech & Insurance
Credit Anti-fraud
Financial institutions can search shared blacklists or perform joint risk analysis for borrowers without disclosing each party's private information
Secure Risk Analytics
Financial calculation agent can run risk analytics on client's encrypted data. Client's data is 100% invisible to agent
Digital Advertising
Precision Ads Display
Advertisers can display ads to target customers for relevant products based on massive user behavior tags, without breaching user privacy
Profiling Engine
Secure data matching of identities across multiple industries and organizations for well-rounded user profile
Personal Data Wallet
Data Wallet
Users manage all personal sensitive data, define data policy and conveniently authorize to service providers in encrypted form
Secure Monetization
Users can 'rent out' data to advertiser for product preference analysis, free of personal data leakage
AI / Healthcare / Other
Data Marketplace
Smart Diagnosis
Key Management
Blind Voting
Dark Pool Trading
Private Set Intersection
TEAM:
ARPA is a global research & development entrepreneurial team. Every team member has studied and worked overseas. We graduated from top tier institutions like Tsinghua, CMU, UMich, NYU, GWU, UC Berkeley, and UI, and worked at Goole, Uber, Amazon, CircleUp, Fosun, MIT Lab, and National Cryptographic Labs. Research-wise, we work closely with professors from NYU, Zhejiang University, and Hong Kong Polytechnic to discuss the cutting edge academic achievements of sMPC and explore its applications. Blockchain-wise, our advisors include former Blockstream Product Director, the world's first side-chain core R&D member, founder of TechCrunch, and investors from top cryptocurrency funds.
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