ARPA Partners with Litentry to Enhance Decentralized Data Security

3 min readApr 13, 2021

Dear community,

We’re thrilled to announce our technical partnership with Litentry.

What is MPC?

Multi-party computation (MPC or SMPC) is a cryptographic protocol that distributes a computation process across multiple parties, where no single party can view the data of others. In other words, MPC allows the joint analysis of data without sharing them.

The synergy of DID and MPC

ARPA’s MPC protocol creates ways for multiple entities to collaboratively analyze data and extract data synergies while keeping each party’s data input private and secure. It allows secret sharing of private data, and the correctness of computation is verifiable using information-theoretic Message Authentication Code.

As Litentry serves as an identity aggregator for users’ on-chain data, privacy lies in their core value and their top priority is to guarantee data safety.

Under this partnership, we will be working closely to explore matching target users, analyzing user on and off-chain data without exposing user data in a privacy-preserving way with MPC technology.

Moreover, on a higher level, we will cooperate to contribute to the standard of decentralized identity and MPC.

About Litentry

Litentry is a cross-chain identity aggregation protocol that features a Substrate-built network, mobile app and identity-related tools. The protocol enables identity linking across different networks and facilitates decentralization and transparency in identity credit computation. Litentry provides a secure vehicle through which users manage their identities and dApps obtain real-time credit/reputation of an identity owner across different blockchains.

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About ARPA

ARPA is a blockchain-based solution for privacy-preserving computation, enabled by Multi-Party Computation (“MPC”). Founded in April 2018, the goal of ARPA is to separate data utility from ownership and enable data renting. ARPA’s MPC protocol creates ways for multiple entities to collaboratively analyze data and extract data synergies while keeping each party’s data input private and secure. ARPA allows secret sharing of private data, and the correctness of computation is verifiable using information-theoretic Message Authentication Code (MAC).

Developers can build privacy-preserving dApps on blockchains compatible with ARPA. Some immediate use cases include: credit anti-fraud, secure data wallet, precision marketing, joint AI model training, key management systems, etc. For example, banks using the ARPA network can share their credit blacklist for risk management purposes without exposing their customer data or privacy.

Team members have worked at leading institutions such as Google, Amazon, Huawei, Fosun, Tsinghua University, Fidelity Investments. ARPA is currently assisting the China Academy of Information and Communications Technology in setting the national standard for secure multi-party computation. ARPA is a corporate member of MPC Alliance and IEEE and is in partnership with fortune 500 companies to implement proofs-of-concept and MPC products. In 2019, ARPA was named the Top 10 most innovative blockchain companies in China by China Enterprise News and China Software Industry Association.

For more information about ARPA or to join our team, please contact us at about@arpachain.io.

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