did:factom

The did:factom method is a blockchain-based DID implementation built on the Factom Protocol. Here's a comprehensive overview:

The method enables Self-Sovereign Identity management through a hierarchical key structure that supports flexible key management and recovery options. DIDs are created using Factom chain IDs rather than human-readable names to enhance privacy.

Key features:

• Hierarchical Key Management with priority levels (0 being highest)
• Multiple Key Types support including Ed25519, ECDSASecp256k1, and RSA
• Built-in Key Recovery mechanisms
• Service Endpoint management
• Privacy-focused design avoiding personally identifiable information

The method uses the following structure:
did:factom:[network:]chainID

Example: did:factom:f26e1c422c657521861ced450442d0c664702f49480aec67805822edfcfee758

Technical Details:

1. DID Generation and Structure:

• DIDs are generated using Factom chain IDs (64-character hexadecimal)
• Optional network identifier (mainnet/testnet)
• Supports management keys and DID keys with different priority levels

2. Resolution Process:

• Sequential scanning of chain entries
• Supports HTTP(S) binding for resolution
• Implements W3C DID Resolution algorithm
• Supports versioning through version-id and version-time

3. Key Management:

• Management Keys for CRUD operations
• DID Keys for authentication and signing
• Supports multiple key formats including:
  • publicKeyBase58
  • publicKeyPem
  • publicKeyHex
  • publicKeyBase64

4. Security Features:

• Hierarchical Authorization model
• Priority-based key management
• Recovery mechanisms through higher-priority keys
• Signature Validation for all operations

5. Technology Stack:

• Built on the Factom Protocol
• Implements W3C DID specifications
• Uses JSON-LD for DID documents
• Supports standard cryptographic algorithms

The method emphasizes privacy by avoiding human-readable identifiers and recommends against storing personally identifiable information in the blockchain. It also includes performance optimizations through selective document updates and caching recommendations.