Findora Foundation Research

The Findora Foundation funds state-of-the-art research in cryptography and blockchain technology to support project goals

Research at Findora Foundation

Zero Knowledge Proofs (ZKP)

Multi-Party Computation

Zero Knowledge Proofs (ZKP)

Zero-knowledge proofs (ZKPs) are a way to prove the validity of a public statement without revealing the witness (or the private inputs). In other words, it is a special form of interactive proofs which have the zero-knowledge property, meaning the verifier learns nothing beyond the validity of the statement that a prover is trying to prove. In the blockchain setting, these proofs are made non-interactive by using the Fiat-Shamir Heuristic. 


Key ZKP research at Findora Network revolves around enabling fully anonymous transactions. Fully anonymous transactions mean the amount, sender identity and recipient identity are all fully hidden. 


Other important ZKP research includes recursive succinct non-interactive arguments of knowledge (SNARKs) which have succinct proof sizes and smaller verification times which need to be optimized to improve Findora Network network throughput.


Research Resources:

Multi-Party Computation

Multi-party computation (MPC) is a cryptographic primitive that allows multiple parties to jointly compute a function over their inputs without revealing these inputs.


The zero knowledge proof system used by Findora for anonymous transactions depends on a common reference string (CRS) that is generated via a trusted setup. To ensure the integrity of the trusted setup process, the CRS is generated through a MPC ceremony. This process requires users to trust the integrity of at least one of the several participants in this MPC ceremony — instead of having to trust a single entity.


MPC research is vital to implement the Findora Network’s asset tracing feature which needs to work seamlessly with the network’s anonymous transactions feature. Asset tracing is critical in enabling government regulators and asset issuers to check for regulatory compliance across the Findora network.


Recent research on dynamic secret sharing schemes may also be incorporated into the platform so that, instead of one entity being in charge of asset tracing, the task is performed by a committee with a quorum. This prevents a scenario where there is a single point of failure.


Research Resources:




Jianwei Liu

Research Scientist

Hridam Basu

Research Scientist – Cryptography

Rami Akeela

Sr. Hardware Engineer

Tai Lin Zhang

Software Engineer

Sergio Juarez

Cryptography Engineer

Want to join the team? View Open Positions →

Findora Blockchain Lecture Series

Lecture 1: Intro to Blockchain

Lecture 2: Intro to Bitcoin

Lecture 3: Digital Signatures & Authenticated Data


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