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README.md
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README.md
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# LAZY SNARK: trustless off-chain zk-proof verification.
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## Abstract
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In Ethereum, it is expensive to check zero-knowledge proofs on-chain. So, we propose to use Fluence to do heavy-lifting off-chain and only go on-chain to challenge incorrect proofs. Our project should help exisiting Ethereum projects that rely on zk-proofs to achieve privacy, scalability, and security.
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In Ethereum, it is expensive to check zero-knowledge proofs on-chain. So, we propose to use Fluence to do heavy-lifting off-chain and only go on-chain to challenge incorrect proofs. Our project should help exisiting Ethereum projects that rely on zk-proofs to achieve privacy, scalability, and trustlessness.
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## Why
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Let us say, there is a project that needs to verify zk-proofs in Ethereum smart contract. The problem is that zk-proof verification is a heavy computational task and thus costs a lot of gas. As a result, checking proofs on-chain is expensive, and is susceptible to network congestion.
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## What
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@ -26,7 +26,7 @@ To better understand the workflow, please review the scheme.
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## Benefits
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LAZY SNARK provides the following benefits compared to checking zk-proofs on-chain:
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LAZY SNARK (not to be confused with Lady Stark) provides the following benefits compared to checking zk-proofs on-chain:
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- It doesn't require much gas. In case of e.g. mass exit the zk-proofs verifications will take all the gas in the block. LAZY SNARK won't.
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- It is ~10 times cheaper than verifying zk-proofs in Ethereum smart contract. Checking zk-proof on-chain costs ~$1 (gasprice and ETH price on June 23, 2019). Checking them in Fluence costs ~$0.01. Since we still need to put data and proofs on-chain, the whole system operation will cost 10 times less than checking the proofs on-chain.
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@ -36,3 +36,12 @@ LAZY SNARK provides the following benefits compared to checking zk-proofs locall
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- The results are public, so the users who seek for invalid proofs won't check the proofs that has already been checked.
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## Use cases
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LAZY SNARK can be used in the following cases (and not only in these):
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- Plasma implementations that require zk-proofs.
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- Mixers.
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- Private money like ZkDai.
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- Games.
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- Many other systems that use zk-proofs. For now, they are mostly limited to money-like systems, hence the examples above. However, it is only the matter of imagination what other use cases need zk-proofs, scalability, and trustlessness.
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## Build instructions
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To be provided :)
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