World Network Technology Explained: Latest Updates and Detailed Analysis of Technical Architecture

Table of Contents

1. World ID's Core Technology

1.1 Biometric authentication system (Orb)

Orb Technical Specifications and Improvements:

Hardware configuration

Multispectral Sensor
Multi-layer imaging with 740nm, 850nm, and 940nm near-infrared LEDs
Global shutter sensor for distortion-free image capture
Custom-designed liquid lens for fast autofocus

Processing Unit

Nvidia Jetson Xavier NX
Parallel processing for real-time execution of multiple neural networks
Optimizing inference with TensorRT
AI performance of 21 TOPS (Tera Operations Per Second)

Security features

Secure Element
Device-specific encryption key generation
Hardware-level tamper detection
TrustZone Implementation
Secure Boot Function
Encrypted Storage

1.2 Biometric Algorithms

Technical details of iris recognition

# 虹彩認証の基本プロセス
def iris_recognition(image):
    # 1. セグメンテーション
    iris_region = segment_iris(image)

    # 2. 正規化（極座標変換）
    normalized_iris = normalize(iris_region)

    # 3. 特徴抽出
    iris_code = generate_iris_code(normalized_iris)

    # 4. マッチング
    return compare_iris_codes(iris_code, stored_codes)

Error Rate

False positive rate (FMR): 2.5×10⁻¹⁴ (1/40 trillion)
False Negative Rate (FNMR): <0.001%

2. World Chain Technology Architecture

2.1 Blockchain Specifications

Layer 2 Architecture

OPStackBase implementation
Inherits the security of Ethereum
Up to 10,000 TPS (Transactions Per Second)

smart contract

// World IDの検証コントラクト例
contract WorldIDVerifier {
    mapping(uint256 => bool) public nullifierHashes;

    function verify(
        uint256 root,
        uint256 nullifierHash,
        uint256[8] calldata proof
    ) external {
        require(!nullifierHashes[nullifierHash], "Already verified");
        require(verifyProof(root, nullifierHash, proof), "Invalid proof");

        nullifierHashes[nullifierHash] = true;
    }
}

2.2 Zero-knowledge proof implementation

Using zkSNARKs

Adoption of Groth16 protocol
Proof generation time: <1 second
Proof size: approximately 288 bytes

3. Technological Innovation of World App 3.0

3.1 Application Architecture

Secure Enclave Integration

// セキュアエンクレーブでの鍵管理例
class SecureKeyManager {
    func generateAndStoreKey() -> SecKey? {
        let parameters: [String: Any] = [
            kSecAttrKeyType as String: kSecAttrKeyTypeECSECPrimeRandom,
            kSecAttrKeySizeInBits as String: 256,
            kSecPrivateKeyAttrs as String: [
                kSecAttrIsPermanent as String: true,
                kSecAttrApplicationTag as String: "world.app.key"
            ]
        ]

        return SecKeyCreateRandomKey(parameters as CFDictionary, nil)
    }
}

AMPC system implementation

Data distribution by Shamir's Secret Sharing
Multi-party computation using threshold cryptography
Ensuring information-theoretic security

3.2 Deep Face Recognition System

Face Recognition Algorithm

def deep_face_verification(image, stored_embedding):
    # 1. 顔検出
    face = detect_face(image)

    # 2. ランドマーク検出
    landmarks = detect_landmarks(face)

    # 3. 顔向き正規化
    aligned_face = align_face(face, landmarks)

    # 4. 埋め込みベクトル生成
    embedding = generate_embedding(aligned_face)

    # 5. 類似度計算
    similarity = cosine_similarity(embedding, stored_embedding)

    return similarity > THRESHOLD

4. Technical implementation of security and anonymity

4.1 Privacy Protection Mechanisms

Zero-knowledge proof generation process

interface ZKProof {
  proof: Uint8Array;
  publicSignals: Uint8Array[];
}

async function generateProof(
  identity: Identity,
  signal: string,
  nullifier: Uint8Array
): Promise<ZKProof> {
  const witness = await calculateWitness(identity, signal, nullifier);
  return await snarkjs.groth16.prove(witness);
}

4.2 Sybil attack countermeasures

Duplicate registration prevention system

Hamming Distance Calculation for Iris Templates
Global Uniqueness Service
Secure Comparison via Multiparty Computation

5. Performance and Optimization

5.1 Scalability measures

Batch processing optimization

interface BatchInsertionProof {
  proof: Uint8Array;
  publicInputs: {
    oldRoot: string;
    newRoot: string;
    insertionRoot: string;
  };
}

async function batchInsert(
  identities: Identity[],
  batchSize: number
): Promise<BatchInsertionProof> {
  // バッチ処理による効率的な挿入
}

5.2 Latency Optimization

Utilizing Edge Computing
Global distribution via CDN
Implementing a Caching Strategy

Conclusion

By combining the latest cryptographic technology with AI, World Network provides advanced identity management while protecting privacy. Continuous technological innovation will lead to further improvements.

Summary of the tech stack

front end: React Native, Web3.js
Backend: Rust, Go
Block chain: Solidity, OP Stack
AI/ML: PyTorch, TensorRT
Security: zkSNARKs, AMPC
Infrastructure: Kubernetes, AWS

The technical information in this article is current as of October 2024. Due to ongoing development, specifications are subject to change.

World Network Technical Information Reference List

Official Technical Documentation

Main Technical Document

World Technical Whitepaper: https://whitepaper.world.org/
World ID Technical Documentation: https://docs.worldcoin.org/

Developer Resources

World Developer Portal: https://developer.world.org/
World ID Integration Guide: https://docs.worldcoin.org/id
World Chain Documentation: https://docs.worldcoin.org/chain

Open Source Repositories

Core Components

World ID SDK

GitHub: https://github.com/worldcoin/idkit
Implementation example and sample code
Integration Guidelines

World ID Contracts

GitHub: https://github.com/worldcoin/world-id-contracts
Smart contract source code
Audit Report

World App

GitHub: https://github.com/worldcoin/world-app
Client Application Code
UI/UX Components

Technical specifications

Orb Related

Orb Hardware Specifications
Biometric Processing Pipeline
Security Architecture Document

Protocol Specifications

World ID Protocol Specification
Zero-Knowledge Proof Implementation
Privacy and Security Models

Security Audit Report

external audit

Nethermind Audit Report (2023)

Smart Contract Audit
Security Assessment

Least Authority Assessment (2023)

Cryptographic technology evaluation
Protocol Security Analysis

Technical Research Papers

Biometrics

“Biometric Performance at Billion People Scale”

Author: John Daugman
The mathematical basis of iris recognition
Error Rate Analysis

“Iris Feature Generation with Gabor Wavelets”

Feature Extraction Algorithm
Pattern Recognition Methods

Documentation API

RESTful APIs

World ID API Reference
Authentication Endpoints
Integration Guidelines

GraphQL APIs

Schema Documentation
Query Examples
Mutation References

Technical Blogs and Updates

Official blog

World Engineering Blog: https://blog.world.org/engineering
Technology Updates
Case studies

Community Resources

World Discord: https://discord.gg/worldcoin
Technical discussion
Developer Community

Tools and SDKs

developer tools

World ID Simulator

テスト環境
debug tool

Integration Testing Suite

Test Framework
automation tools

Standardization of technical specifications

Standard

Biometric Template Protection

ISO / IEC 24745
データ保護ガイドライン

Privacy Standards

GDPR Compliance
Data Minimization Principle

Architecture Document

System Design

World Network Architecture

System Components
Infrastructure Design

Security Architecture

Security Model
threat analysis

Change log

October 2024: World Chain technical specifications added
September 2024: World ID 9 specification update
August 2024: Security audit report published

Points to note

The documentation is updated regularly
Please check the official website for the latest information.
Some resources may require an NDA

This reference collection is current as of October 2024. For the latest technical information, be sure to refer to the official documentation.

World Network Technology Explained