
CHLOM™ Integration of DIDs, SSIDs, SBTs, and Core Blockchain Functions
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Decentralized Identity, Smart Licensing, and AI-Driven Governance
Version: 1.0 | Last Updated: February 2025
1. Introduction
The CHLOM™ blockchain ecosystem integrates Decentralized Identifiers (DIDs), Self-Sovereign Identities (SSIDs), and Soulbound Tokens (SBTs) as core components of its compliance, licensing, and governance framework. These technologies ensure secure, non-transferable identity management while enabling automated, AI-driven compliance verification.
By leveraging CHLOM™'s zero-knowledge proof (ZKP)-backed authentication, AI-powered fraud detection, and tokenized licensing as a service (TLaaS), businesses and institutions can create tamper-proof identity systems, trustless licensing frameworks, and AI-regulated compliance models.
2. CHLOM™ Blockchain Identity & Licensing Model
2.1 Decentralized Identifiers (DIDs)
- Enables verifiable, on-chain identity records that eliminate dependency on centralized authorities.
- Supports Zero-Knowledge Proof authentication to protect identity privacy while ensuring trust.
- Facilitates secure, on-chain identity resolution across different blockchain applications.
2.2 Self-Sovereign Identities (SSIDs)
- Allows individuals and businesses to control their digital identities without intermediaries.
- Ensures interoperability across metaverses, licensing systems, and digital marketplaces.
- Works in tandem with SBTs to create a non-transferable record of credentials and achievements.
2.3 Soulbound Tokens (SBTs) for Licensing
- Creates a blockchain-based record of non-transferable licenses, certifications, and compliance statuses.
- Prevents identity fraud and unauthorized access to restricted systems and intellectual property.
- Enables AI-powered governance mechanisms that dynamically revoke or upgrade licenses based on compliance behavior.
3. CHLOM™ Smart Contract Implementation
3.1 DID & SSID Registration Smart Contract
// SPDX-License-Identifier: MIT pragma solidity ^0.8.0; contract CHLOMDIDRegistry { struct DID { address owner; string metadata; bool verified; } mapping(address => DID) public dids; mapping(address => bool) public verifiers; function registerDID(string memory metadata) public { require(bytes(metadata).length > 0, "Invalid metadata"); dids[msg.sender] = DID(msg.sender, metadata, false); } function verifyDID(address user) public { require(verifiers[msg.sender], "Not authorized to verify DIDs"); dids[user].verified = true; } function revokeDID(address user) public { require(verifiers[msg.sender], "Not authorized to revoke DIDs"); delete dids[user]; } }
3.2 Soulbound Token Smart Contract for Licensing
// SPDX-License-Identifier: MIT pragma solidity ^0.8.0; contract CHLOMSBT { struct License { address holder; string details; bool active; } mapping(address => License) public licenses; function issueLicense(address user, string memory details) public { require(bytes(details).length > 0, "License details required"); licenses[user] = License(user, details, true); } function revokeLicense(address user) public { require(licenses[user].active, "No active license found"); licenses[user].active = false; } }
4. AI-Driven Compliance & Licensing Automation
4.1 AI-Based Risk Scoring for License Holders
- Machine learning models evaluate compliance history and transaction behavior.
- Zero-Knowledge Proofs enable identity validation without exposing personal data.
- Automated risk analysis adjusts licensing requirements dynamically.
Machine Learning Model for License Compliance
import numpy as np import joblib from sklearn.ensemble import GradientBoostingClassifier from sklearn.preprocessing import StandardScaler class CHLOMComplianceAI: def __init__(self, model_path="compliance_model.pkl"): self.model_path = model_path self.model = self._initialize_model() def _initialize_model(self): try: return joblib.load(self.model_path) except: return GradientBoostingClassifier(n_estimators=200) def train_model(self, X, y): X_scaled = StandardScaler().fit_transform(X) self.model.fit(X_scaled, y) joblib.dump(self.model, self.model_path) def predict_compliance(self, license_data): return self.model.predict(np.array(license_data).reshape(1, -1))
5. CHLOM™ Governance & Licensing Exchange
5.1 License Exchange (LEX) for Tokenized Licensing
- Provides a decentralized marketplace for compliant licensing transfers.
- Ensures that SBTs are verifiably issued, revoked, or upgraded via smart contracts.
- Integrates AI-based monitoring for compliance scoring and fraudulent activity detection.
5.2 AI-Powered Decentralized Licensing Authority (DLA)
- Oversees automated compliance checks and license revocation enforcement.
- Implements fraud prevention through on-chain reputation scoring.
- Manages dynamic fee adjustments using AI-based risk models.
CHLOM™ Smart Treasury Smart Contract for Licensing Fees
// SPDX-License-Identifier: MIT pragma solidity ^0.8.0; contract CHLOMSmartTreasury { struct FeeRecord { address payer; uint256 amount; } mapping(uint256 => FeeRecord) public payments; function recordPayment(uint256 _id, address _payer, uint256 _amount) public { payments[_id] = FeeRecord(_payer, _amount); } }
6. Conclusion
The integration of DIDs, SSIDs, SBTs, and AI-driven licensing within the CHLOM™ blockchain ecosystem provides an advanced framework for secure, automated, and tamper-proof identity and compliance management.
With the License Exchange (LEX), Decentralized Licensing Authority (DLA), and AI-powered compliance automation, CHLOM™ creates a trustless ecosystem for identity verification, non-transferable licensing, and decentralized governance.
This AI-driven framework ensures that businesses, institutions, and individuals can seamlessly issue, manage, and verify licenses while maintaining compliance across multiple sectors, from finance to healthcare, gaming, and beyond.