🔐

# ZK Proofs

Proofs in the context of zk-rollups (zero-knowledge rollups) are a form of cryptographic evidence that validates all transactions in a rollup block without revealing the actual data of those transactions. Here’s a simplified breakdown:

What Are zk-Rollups?zk-Rollups are a type of Layer 2 scaling solution for blockchains like Ethereum. They help in scaling by processing transactions off the main chain (Layer 1) while ensuring the security and decentralization of the network.

In blockchain, there are several types of zero-knowledge proofs (ZKPs) which vary in their interaction model and cryptographic techniques:

**zk-SNARKs**

zk-SNARKs are the most well-known ZKP protocol, valued for their quick verification times and minimal proof sizes. Initially, they required a "trusted setup," posing potential security risks, but newer versions have mitigated these concerns with trustless implementations using Multi-Party Computation (MPC).

**Bulletproofs**

Introduced as a scalable solution, Bulletproofs' proof sizes increase logarithmically with the number of inputs, improving over linear-sized proofs. They eliminate the need for a trusted setup, enhancing security, although they lack quantum resistance.

**zk-STARKs**

The latest in ZKP technology, zk-STARKs offer transparency and quantum resistance, without the need for a trusted setup. They are considered more scalable with simpler assumptions, at the cost of larger proof sizes than zk-SNARKs.

Feature | zk-SNARKs | Bulletproofs | zk-STARKs |
---|---|---|---|

Trusted Setup | Required (traditional), optional (recent) | Not required | Not required |

Proof Size | Small (~0.2kB) | Medium (logarithmic scaling) | Large (~50kB) |

Quantum Safety | No (traditional), Yes (recent) | No | Yes |

Computational | Fast proving, very fast verifying | Slower proving and verifying | Faster proving, slower verifying |

Transparency | No (traditional), Yes (recent) | Yes | Yes |

Scalability | High (with trustless setup) | High | Higher due to simple assumptions |

- 1.
**Efficiency**: zk-SNARKs enable very fast proof verification, which is crucial for maintaining performance on a blockchain network where many transactions must be verified quickly. - 2.
**Compact Proofs**: They generate small proof sizes, making them ideal for blockchains where conserving space is essential for scalability. - 3.
**Privacy**: zk-SNARKs provide strong privacy guarantees, allowing for the verification of transactions without revealing any underlying sensitive data. - 4.
**Adoption**: zk-SNARKs have been widely adopted and are supported by a number of blockchain projects, offering a mature ecosystem for developers.

A zk-SNARK (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) is an advanced cryptographic technique that allows someone to prove they possess certain information without revealing what that information is. This proof of knowledge satisfies a known mathematical statement, yet maintains the secrecy of the inputs involved. It's a powerful tool for maintaining privacy and security within various digital interactions.

The process of verifying a zk-SNARK is designed to be efficient, with computational demands growing very slowly (logarithmically) relative to the complexity of the statement being proved. This efficiency is what gives zk-SNARKs their 'succinct' characteristic. Furthermore, the verification process does not require any back-and-forth communication between the prover and the verifier. The prover simply presents their proof to the verifier for validation.

When the requirement for succinctness is set aside, and zero-knowledge is adjusted to a more lenient standard known as Honest Verifier Zero Knowledge, similar concepts can be seen in digital signature algorithms like ECDSA and EdDSA. These algorithms, derived from the Schnorr Identification Protocol, prove the knowledge of a discrete logarithm without revealing it. While the verification of such signatures is not costly and aligns with the non-interactive nature of zk-SNARKs, they do not fulfill the succinctness criterion, which is a defining feature of zk-SNARKs.

A zk-SNARK involves three core components: a key

**generator**(`G`

), a **prover**(`P`

), and a **verifier**(`V`

). The process begins with `G`

, which, using a secret parameter *lambda*and a specific program`C`

, outputs a pair of keys: a **proving key**(`pk`

) and a **verification key**(`vk`

). These keys, once generated, are public and tied to the program `C`

.Next, the prover

`P`

, utilizing the proving key `pk`

, public input `x`

, and a secret witness `w`

, produces a proof `prf`

that they know a witness `w`

which conforms to the constraints of program `C`

.Finally, the verifier

`V`

checks the validity of the proof by executing `V(vk, w.pub(), prf)`

, which confirms the truth of the claim if the proof prf is valid.A circuit, from the perspective of a user, functions similarly to a program written in a language like Go. It defines the logic or computation that you want to prove has been executed correctly. Internally, however, a circuit is not a typical program but a system of algebraic constraints. These constraints represent the steps of the computation, and each one must be satisfied for the overall computation to be considered valid. This unique structure allows zk-SNARKs to efficiently prove complex computations.

A zk-SNARK circuit serves the purpose of defining the computations that a prover wants to prove knowledge of without disclosing the underlying data. These circuits play a pivotal role in zk-SNARK protocols, ensuring that the prover can provide convincing evidence of the correctness of their computations while keeping the sensitive data private.

A zk-SNARK circuit consists of several key components:

**Input Variables**: These are the data that the prover aims to prove knowledge of, often referred to as the witness.**Output Variables**: These represent the result of the computation that the prover is trying to prove.**Constraints**: Constraints are mathematical equations that define the rules the computation must adhere to. They ensure that the computation is performed correctly.**Witness**: The witness comprises the private information known to the prover. It is used in the computation and is kept secret.**Public Inputs**: These are pieces of information that are publicly known and are used to validate the proof.

Arithmetic operations, such as addition, multiplication, and comparison, are frequently used in zk-SNARK circuits to define computations. Here's a simplified example in JavaScript:

const num1 = 5; // Your secret number 1

const num2 = 7; // Your secret number 2

const sum = 12; // The sum you want to prove knowledge of

// Arithmetic circuit to check if num1 + num2 equals sum

const isSumCorrect = (num1, num2, sum) => {

return num1 + num2 === sum;

};

Constraints in zk-SNARK circuits are crucial for enforcing the correctness of the computation. They are formulated as mathematical equations involving input and output variables. Examples of constraints include equality constraints and inequality constraints.

The entire collection of constraints in a zk-SNARK circuit forms a constraint system. This constraint system is a fundamental element used in generating zk-SNARK proofs.

In zk-SNARK protocols, there are two main roles:

**Prover**: The prover's role is to create a zk-SNARK proof that demonstrates knowledge of the correct computation while keeping the witness secret.**Verifier**: The verifier's role is to check the validity of the proof provided by the prover without needing to know the underlying data.

Last modified 1mo ago