Demystifying Zero Knowledge Proofs: A Beginner’s Guide

Etette Etok
EthereumNigeria
Published in
4 min readNov 7, 2023
prover can proof without revealing the secret

In the world of cryptography and digital security, zero knowledge proofs (ZKPs) stand as a remarkable concept. They are cryptographic tools that allow one party (the prover) to demonstrate to another party (the verifier) that a statement is true without revealing any specific information about the statement itself. This seemingly magical ability has profound implications for privacy and security in various fields, from blockchain to authentication protocols.

What Are Zero Knowledge Proofs?

At its core, a zero knowledge proof is a way of proving knowledge of a secret without revealing the actual secret. Think of it as a scenario where you need to convince someone that you know a secret code without actually disclosing the code itself. ZKPs are like a magician’s act — they perform astonishing feats while keeping their methods hidden.

The Basic Components

Alice can proof to know a secret without revealing the secret and Bob can verify the secret without knowing the secret

To understand ZKPs, let’s break down the basic components:

1. The Prover: This is the party that possesses knowledge of a secret and wants to prove it to someone else without revealing the secret itself.

2. The Verifier: This is the party that seeks proof of the secret’s existence without actually learning the secret.

3. The Statement: It’s what the prover wants to prove, like knowing a password or a cryptographic key.

4. The Proof: This is what the prover presents to the verifier to convince them of the statement’s truth.

Types of Zero Knowledge Proofs

ZKPs come in various flavors, each with its own use cases. Here are a few notable ones:

1. Zero Knowledge Proof of Knowledge (ZKPoK): This type proves that the prover knows something without revealing what they know. For instance, proving knowledge of a password without disclosing the password itself.

2. Zero Knowledge Proof of Identity (ZKPoI): In authentication systems, this type can be used to prove that someone is who they claim to be without exposing their identity.

3. Non-Interactive Zero Knowledge Proofs (NIZK): Unlike interactive proofs, NIZKs allow the prover to demonstrate their knowledge without back-and-forth communication with the verifier. This is vital for efficiency.

Real-World Applications

Zero knowledge proofs have fascinating applications:

Password Authentication:

Example: “Zero-Knowledge Password Proof” (ZKPP)

Use Case:

A user can prove they know a password without revealing the actual password to the server. This enhances security by reducing the risk of password exposure.

Identity Verification:

Example: ZK-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge)

Use Case:

Blockchain systems like Zcash use zk-SNARKs to allow users to prove they own certain information (e.g., private keys) without revealing those details, ensuring privacy while validating transactions.

Digital Signatures:

Example: Confidential Transactions (used in cryptocurrencies like Monero)

Use Case:

ZKPs are used to hide transaction values while still allowing participants to verify the transaction’s authenticity and balance. This enhances privacy in blockchain transactions.

Anonymous Authentication:

Example: Privacy Pass

Use Case:

This protocol is used to provide anonymous authentication, allowing users to prove they have certain credentials without revealing their identity. It’s employed in privacy-preserving applications.

Secure Multi-Party Computation (SMPC):

Example: Secure Function Evaluation (SFE) using ZKPs

Use Case:

Multiple parties can jointly compute a function over their inputs without revealing their private data to each other. For example, in auctions or collaborative analytics.

Access Control Systems:

Example: “Attribute-Based Access Control” (ABAC)

Use Case:

ZKPs are used in ABAC to prove that a user has specific attributes (e.g., age over 21) without revealing any additional personal information.

Medical Privacy:

Example: “Proving Zero Knowledge of Sensitive Data” (ZK-Boo)

Use Case:

In medical research, researchers can prove they have data on certain health conditions without revealing any specific patient information.

Digital Voting:

Example: Helios Voting System

Use Case:

ZKPs are used to allow voters to confirm their votes were counted without revealing the actual vote or compromising their anonymity.

Authentication and Authorization in Web Services:

Example: OAuth 2.0 Proof Key for Code Exchange (PKCE)

Use Case:

In OAuth 2.0, PKCE is used to enhance security during the authorization code flow, allowing clients to prove their identity without exposing their secret.

Secure Key Exchange:

Example: ZK-STARKs (Zero-Knowledge Scalable Transparent ARguments of Knowledge)

Use Case:

ZKPs are used for secure key exchange, allowing two parties to establish a shared secret without revealing the secret to eavesdroppers.

Challenges and Future Prospects

While ZKPs hold great promise for privacy and security, they are not without challenges. These include computational overhead, complexity, and sometimes the need for a trusted setup.

The future of zero knowledge proofs is bright. Researchers are actively working on improving efficiency and eliminating the need for trusted setups, making ZKPs even more practical for everyday applications.

Conclusion

Zero knowledge proofs are a fascinating and powerful concept in cryptography. They allow us to prove knowledge without revealing the secrets, opening doors to new possibilities for secure and private interactions in our increasingly digital world. As this technology evolves, it’s worth keeping an eye on the innovative ways it will continue to shape our digital landscape. Watch a simple implementation of Zero Knowledge proof here.

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Etette Etok
EthereumNigeria

A multifaceted professional with expertise in software engineering, blockchain development and facilitation, technical writing, and artificial intelligence.