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https://github.com/ilertha/confidential-erc-20-framework

a joint effort by Inco Network and Circle Research, offers compliant privacy solutions for public blockchains by converting standard ERC-20 tokens into privacy-protected versions, ensuring user privacy while maintaining compliance.
https://github.com/ilertha/confidential-erc-20-framework

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a joint effort by Inco Network and Circle Research, offers compliant privacy solutions for public blockchains by converting standard ERC-20 tokens into privacy-protected versions, ensuring user privacy while maintaining compliance.

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README

        

# Confidential ERC-20 Framework

## Overview

The Confidential ERC-20 Framework is a collaborative initiative between Inco Network and Circle Research, aimed at enhancing privacy solutions for public blockchains. This framework allows standard ERC-20 tokens to be transformed into privacy-protected versions, ensuring user privacy while maintaining regulatory compliance.

## Key Features

- Privacy Protection: Utilizes Fully Homomorphic Encryption (FHE) to conceal account balances and transaction amounts, ensuring user confidentiality.
- Encrypted Balances: All token balances are encrypted, preventing unauthorized access.
- Authorized View Permissions: Only designated parties can view sensitive information, enhancing data security.
- Programmable Transfer Rules: Flexible rules for token transfers can be defined to meet specific application needs.

## Applications

The Confidential ERC-20 Framework is designed for a variety of use cases, including:
- Supply Chain Payments: Ensuring confidentiality in transactions across supply chain networks.
- Payroll Distribution: Protecting employee payment information while ensuring compliance with regulations.
- Peer-to-Peer Payments: Facilitating secure and private transactions between individuals.

## Conclusion

The Confidential ERC-20 Framework empowers users to engage in secure and private transactions on public blockchains, paving the way for innovative applications across multiple industries.

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