Zero-Knowledge Proofs: Full Guide, Part III

Lucas Martin Calderon
3 min readAug 10, 2023

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From Zero to Knowledge: Proof Systems

Photo by Alex wong on Unsplash

Introduction

Zero Knowledge Proofs (ZKPs) have emerged as a crucial building block in the world of cryptography, particularly in the blockchain realm. But what exactly are they, and why do they matter?

In simple terms, a Zero Knowledge Proof is a method by which one party can prove to another that they know a specific piece of information without revealing what that information is.

Sounds intriguing, doesn’t it? Let’s embark on a journey to understand the fundamentals of Zero Knowledge Proofs and explore how they are shaping the world of secure communication.

The Foundation of Proofs

Before diving into ZKPs, we need to understand what a proof system is. In computer science, a proof system consists of a formalized process to demonstrate the validity of a statement. Here’s a breakdown of the major components:

1. Formal Language

This is the syntax and symbols used to write formulas and make assertions. It’s like the grammar rules of proofs.

2. Axioms

Think of these as the fundamental truths or starting points for constructing proofs.

3. Inference Rules

These are the logic principles that guide how one statement can lead to another.

4. Proof Derivation

Starting from axioms, we use inference rules to reach the final statement.

5. Soundness and Completeness

Soundness ensures that proven statements are true, while completeness makes sure that true statements can be proven.

The Evolution of Proof Systems

Proof systems have evolved significantly over the past few decades. To illustrate this, we’ll use the classic computer science problem of graph coloring — assigning colors to vertices in a graph such that no adjacent vertices share the same color.

Nondeterministic Polynomial-time (NP)

In NP, the prover provides a solution, and the verifier checks its validity. For the graph coloring problem, the prover shows a coloring assignment, and the verifier checks that no adjacent vertices have the same color.

Interactive Proof (IP)

Introduced in 1985, IP involves a series of interactions between the prover and verifier. The verifier challenges the prover with random questions, and the prover responds until the verifier is convinced. IPs allow probabilistic verification, preserving the prover’s privacy.

Probabilistic Checkable Proofs (PCP)

PCP takes non-interactivity to the next level. The proof is transformed into a “proof transcript,” and the verifier can randomly query it. This allows for random verification without interaction.

Interactive Oracle Proof (IOP)

IOP combines interaction and oracles (random queries), making interactive proofs more efficient. This model is used in state-of-the-art zero-knowledge proofs.

Zero Knowledge Proofs in Cryptography

Now, let’s delve into the fascinating world of ZKPs. We can categorize them into two main components:

Information-Theoretic Proof System

These proof systems provide soundness and completeness, assuming the verifier is trusted. They make idealized assumptions but need something more to be practical.

Cryptographic Compiler

This is where the magic happens. The compiler removes the idealized assumptions, using cryptographic tools like hash functions or random oracles. The result is a real-world proof system with desirable properties like reduced complexity or added zero-knowledge features.

Why Separate Them?

Modularity is key. By keeping these components separate, we can optimize, analyze, and implement them individually. This separation allows for a variety of real-world proof systems, each with its unique trade-offs.

Practical Applications: zkSNARKs and zkSTARKs

These cryptographic tools are based on ZKPs and are utilized in blockchain technologies. They ensure privacy and scalability in various decentralized applications.

Conclusion

Zero Knowledge Proofs (ZKPs) are an extraordinary cryptographic tool that enables proof without disclosure. From the foundational concepts of proof systems to the intricate workings of zkSNARKs and zkSTARKs, ZKPs are revolutionizing how we approach privacy and security in the digital age.

Whether you’re a cryptography enthusiast, a blockchain developer, or simply curious about the world of secure communication, understanding ZKPs is a gateway to exploring the limitless potentials of secure, private, and efficient computing.

Keep diving in, keep exploring, and remember that the essence of Zero Knowledge Proofs lies in the art of proving nothing while revealing everything you need to know.

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Lucas Martin Calderon

Founder & CEO @ Pentestify | Driving Blockchain Security with AI | SuperNova Under 30