System Architecture

This page presents the end-to-end architecture for identity tokenization systems, covering component interactions, security boundaries, and data flow patterns.

Architecture Overview

An identity tokenization system consists of five core functional areas:

  1. Issuer/Authority - Establishes identity and issues the foundational UIN
  2. Tokenization Service - Manages token generation, validation, and de-tokenization
  3. Consent Service - Records user consent and issues User Consent Tokens
  4. Verifier/Relying Party - Requests and consumes identity attributes
  5. Audit/Logging - Records all operations for accountability
Identity Tokenization Architecture Flow

Figure 1: High-level architecture showing component relationships

Component Details

Issuer / Identity Authority

The trusted authority responsible for identity proofing and UIN issuance.

Sub-component Function
Enrollment Service Collect and verify identity documents and biometrics
UIN Generator Generate unique, non-meaningful identifiers
UIN Registry Store UIN-to-identity mappings
PII Vault Secure storage for personal attributes
Lifecycle Manager Handle updates, deactivation, deceased processing

Tokenization Service

The core service that manages token operations.

Sub-component Function
Token Generator Create cryptographically random tokens
Sectoral Derivation Derive sector-specific identifiers from UIN
Token Validator Verify token validity and status
De-tokenizer Resolve tokens to attributes with consent verification
Token Store Persist token-to-reference mappings
HSM Interface Cryptographic operations via hardware security module

Consent Service

Manages user consent lifecycle and authorization.

Sub-component Function
Consent Manager Record, update, revoke consent grants
UCT Issuer Generate signed User Consent Tokens
UCT Validator Verify consent token validity and scopes
User Portal Web/mobile interface for consent management
Consent Registry Store consent records with audit trail

Audit/Logging Layer

Provides comprehensive accountability and monitoring.

Sub-component Function
Event Collector Aggregate events from all components
Immutable Store Append-only, tamper-evident storage
Query Interface Search and retrieve audit records
Anomaly Detector Identify suspicious patterns
Report Generator Compliance and operational reports

Data Flow Patterns

Enrollment Flow

  1. Subject presents identity documents to Issuer
  2. Issuer verifies documents and performs identity proofing
  3. UIN Generator creates unique identifier
  4. UIN and verified attributes stored in Registry/Vault
  5. Subject receives confirmation (may include credential)
  6. Audit log records enrollment event

Consent Grant Flow

  1. Relying Party requests specific attributes with stated purpose
  2. Request routed to User Portal or consent channel
  3. User reviews request details (scopes, purpose, RP identity, duration)
  4. User approves or denies request
  5. Consent Service records decision and issues UCT
  6. UCT returned to Relying Party
  7. Audit log records consent grant

Data Disclosure Flow

  1. Relying Party presents UCT to Tokenization Service
  2. Tokenization Service validates UCT with Consent Service
  3. Consent Service verifies: audience, scopes, expiry, revocation status
  4. If valid, Tokenization Service retrieves requested attributes
  5. Attributes formatted according to scope (may be derived/aggregated)
  6. Response returned to Relying Party
  7. Audit log records disclosure event
Selective Disclosure Flow Diagram

Figure 2: Selective disclosure ensures minimal data exposure

Separation of Duties

Security depends on proper separation between components:

Critical Separations

Separation Rationale
Issuer ↔ Tokenization Service Tokenization operator should not have direct access to raw PII
Tokenization Service ↔ Relying Parties RPs receive only authorized attributes, never full records
Consent Service ↔ Data Access Consent recording is independent from data retrieval
Operations ↔ Audit Those performing actions should not control audit records
Key Custodians ↔ Data Access HSM operators should not have access to token store contents

Trust Boundaries

The architecture defines several trust boundaries:

Data Minimization Boundaries

The architecture enforces data minimization at multiple layers:

Layer 1: Collection

Layer 2: Storage

Layer 3: Disclosure

Layer 4: Analytics

Deployment Considerations

High Availability

Scalability

Network Architecture

Standards Alignment

The architecture aligns with relevant standards:

Standard Relevance
OSIA (Open Standards Identity APIs)[9] API specifications for identity services
W3C Verifiable Credentials Credential format and verification
SD-JWT[8] Selective disclosure in JWT format
OAuth 2.0 / OpenID Connect Authorization framework
ISO 27001 Information security management
eIDAS Electronic identification (EU context)

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Disclaimer: This website provides educational content about identity tokenization concepts and architectures. It does not constitute legal advice. Organizations should consult qualified legal and technical professionals when implementing identity systems.