{"id":17828,"date":"2024-01-15T11:20:28","date_gmt":"2024-01-15T10:20:28","guid":{"rendered":"https:\/\/affidaty.io\/blog\/?p=17828"},"modified":"2024-03-26T15:58:21","modified_gmt":"2024-03-26T14:58:21","slug":"zero-knowledge-technology-blockchain","status":"publish","type":"post","link":"https:\/\/affidaty.io\/blog\/en\/2024\/01\/zero-knowledge-technology-blockchain\/","title":{"rendered":"Zero-Knowledge: Blockchain Privacy Revolution"},"content":{"rendered":"\n
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Introduction<\/h2>\n\n\n\n

Have you ever wondered how one can prove knowledge of something without revealing what that knowledge is? This is the question at the core of zero-knowledge technology<\/strong>, one of the most promising innovations in the fields of cryptography and blockchain<\/strong>. In this article, we will explore what zero-knowledge technology<\/strong> is, how it works, its applications, and the challenges and opportunities it presents for the future of Web3.<\/p>\n\n\n\n

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Behind the Scenes of Zero-Knowledge Technology<\/strong><\/h2>\n\n\n\n

Zero-knowledge technology<\/strong> is a method that allows proving the truth of a certain statement without disclosing any other information. In other words, it enables proving knowledge of something without revealing what that knowledge is. This can have various practical applications, such as privacy protection, security, digital identity, and more.<\/p>\n\n\n\n

To understand how zero-knowledge technology<\/strong> works, we first need to introduce the concept of zero-knowledge proof, which is the mechanism that enables this technology. A zero-knowledge proof is a communication between two parties, called the prover and verifier, where the prover aims to convince the verifier of a certain statement without revealing any additional information. A zero-knowledge proof must satisfy three fundamental properties: completeness, correctness, and zero-knowledge.<\/p>\n\n\n\n

Completeness means that if the statement is true and the prover is honest, the verifier must accept the proof with arbitrarily high probability. Correctness means that if the statement is false and the prover is dishonest, the verifier must reject the proof with a probability exceeding a predefined threshold. Zero-knowledge means that the verifier should not learn any additional information from the interaction with the prover, other than whether the statement is true or false.<\/p>\n\n\n\n

Imagine having a cave with two entrances, A and B, and a door blocking the passage between A and B. Only those who know the secret word can open the door and traverse the cave from one side to the other. Now, suppose Alice (prover) knows the secret word and wants to sell it to Marco (verifier), who wants access to the cave. However, Alice doesn’t want to reveal the word to Marco before receiving payment, and Marco doesn’t want to pay Alice before being sure she actually knows the word. How can this dilemma be resolved?<\/p>\n\n\n\n

One possible solution is as follows: Alice enters the cave through one of the two entrances, chosen randomly, and Marco follows her to the entrance. Then, Marco stops and shouts the name of the entrance from which he wants Alice to exit. If Alice knows the secret word, she can open the door and exit from the entrance Marco requested. If she doesn’t know it, she can only exit from the same entrance she entered, hoping it’s the one Marco asked for. In this case, she has a 50% chance of guessing. If they repeat this process several times, the probability of Alice deceiving Marco decreases exponentially. So, if Alice always exits the entrance Marco asks for, Marco can reasonably be convinced that Alice knows the secret word without her having to reveal it.<\/p>\n\n\n\n

This example illustrates the concept of zero-knowledge proof, based on the three fundamental properties:<\/p>\n\n\n\n