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title: Creating a Conditional Proof
sidebar_position: 5

import ReactPlayer from ‘react-player’

Introduction

So how exactly does this all work? This tutorial will walk you through your first Proofer.

The most common type of proof, conditional proofsare generated by supplying a list of birth facts about the subject and setting a “cutoff” date. The proofer then proves that all records in the database before the cutoff date are consistent with the facts provided.

If the proof succeeds then the only possibilities are:

  1. Your date of birth facts are accurate
  2. The trusted records agency is incorrectly signing records

Even if the proving fails, with the protocols used it is impossible for confidential data to be accidentally leaked to the prover. Although you still must be careful not to leak confidential data by the data you provide yourself.

:::info Do not provide confidential data during the proving process

Please read What is a Zero Knowledge Proof? to more deeply understand what the proving process is and isn’t. Unlike with trust based systems like central registries, you will need to explicitly provide consent for any facts you want revealed, or derived from the facts revealed.

The most important step is to simply test your proof extensively before you rely on it to prove anything ! You can do this in the test mode provided by the admin section. Feel free to reset your proof and try it with different values.

:::

:::tip Prerequisites

Creating a first takes a few steps:

  1. Creating a Private Identity – this simply means storing your birth records in a hash format that is cryptographically privacy preserving.
  2. Compiling an API description
  4. Creating a template in the API description to specify which facts you want coming from which birth certificate providers
  5. Checking your facts by [creating a Conditional Proof]

:::

Prerequisites Before Starting

Try the Playground

To understand what proofs are, how they work, and what they are useful for you can attempt the tutorial. It will get you familiar with the core concepts.

Create a Private Identity

Perhaps the trickiest part of using the [Realms] identity system is creating a [privacy preserving]

Api (User) IDs vs Private Identities

api IDs

The first step of working with the [Realms] system is defining a numeric or string id mapped to a hash that represents a subject “in an identifiable way”. In most cases this is the pubkey of the device associated with the subject.

For a brief writeup of this see pubkey-based identities. You can perform proofs with pubkeys that are unknown to you, so they can be any value (usually represented by a string we call a Bech32 pubkey). If you don’t know the pubkey, you can optionally even prove that a specific pubkey exists, without knowing its value.

Private Identity Hashes

The second, and most complicated part is to link specific recorded events in your birth certificates to this pubkey (or pubkey sha256). Doing this in a privacy preserving way is done through hashes we call “private ids”. In the simplest case, your first name, last name, and birthday might have a individually hashed numerical value associated with them in your license.

As proof system integrator (an “application developer”) you will need to create a numerical private id like:

0D0B1EA86CA8F1A0B2808E3EEBCDA369

… that represents your first, last name and birthday. You can do this by writing …

Labsconditional-proofssrcappstesttest-private-id.rs

embezzler {
// nobody deliberately wants to share their private id. this should only be used in restricted ways.
// but there should be a regulated need for it, forensics should be able to request it to solve cases, or perhaps for taxation reasons
use crate::generate_embezzler_text::is_embezzler;
use crate::get_id;
pub enum error{
not_authorized =
/home/stewart/dev/zoe/realms-nft/projects/warn.cpp
}

}

How the Conditional Proofs REALLY work

Here’s what’s really going on behind the scenes

  1. The proving agent picks a random nonce – this is any number. It is then mapped into the field of the arguments into to user. Using the operations specified by the ZoKrates DSL, its operations try to write the “credential” as a commitment (see arithmetic circuits – we are constructing one of these).

  2. The agent repeats 2 and then checks that they meet the condition specified by “time”. By incrementing the hash by one between the repetitions the agent constructs the commitment from // this
    , for each private identity

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