Decoding STARK: How to Prove Computation Accuracy Without Revealing the Data

In the rapidly evolving world of cryptography, verifying large-degree polynomials efficiently is a challenge. The FRI protocol solves this by enabling the prover to demonstrate that a given polynomial is close to a low-degree one through a series of recursive folding steps. By halving the polynomial’s degree progressively, the FRI protocol reduces computational complexity while preserving the security of the verification process. The prover commits to the polynomial’s evaluations using Merkle trees, ensuring both integrity and consistency, which are verified through collinearity checks. In this blog, we take a deep dive into the mechanics of the FRI protocol, from the commitment phase where the degree is halved to the query phase where the verifier checks consistency. Whether you are a blockchain enthusiast, cryptography expert, or just curious about the future of digital proofs, understanding the FRI protocol will give you a glimpse into the future of secure, scalable cryptographic verification. [Read More]

Unveiling the Secrets of Cryptography: From Polynomials to Pairings and Commitment Schemes

This blog explores the foundational concepts in cryptography, focusing on the roles of polynomials, pairings, and commitment schemes. It explains how polynomials contribute to data integrity through erasure coding and interpolation, introduces the concept of pairings with their critical properties of bilinearity and non-degeneracy, and guides readers through the setup and importance of polynomial commitment schemes. Building on previous discussions of Zero-Knowledge Proofs, this blog provides an accessible yet comprehensive guide to these essential cryptographic tools. [Read More]