Digital Identity And Privacy Protection
ZippyChain will introduce the Zippy Name Service (ZNS). ZNS simplifies blockchain usability by mapping human-readable names to machine-readable identifiers, enhancing security and usability without relying on centralized authorities. Its key features include decentralization, human-readable names, cross-platform interoperability, and support for multiple data types.
Decentralized Identity
Enables Users To Independently Manage Their Identifiers And Credentials, Enhancing Control Over Personal Information. Its Advantages Include Streamlined Transactions, Improved Security, Community Governance, And Growth Potential. Application Scenarios Encompass Universal Login, KYC Verification, Enhanced Online Privacy, Integrity, And Protection Against Cyber Attacks. Verification Through Decentralized Identifiers (DIDs) Features Authentication While Safeguarding Sensitive Information. Through Soulbound Tokens, They Create Unique On-Chain Identities Tied To Specific Wallets, Representing Achievements Or Community Involvement, Thereby Transforming Identity Management In The Digital Age.
Upgrades Based On Dual Protection Of Zero-Knowledge Proofs (ZKPs) And Federated Learning (FL)
ZippyChain Will Develop And Promote Protocols Related To Decentralized Data Exchange, Covering AI Inference Results, Identity-Based Precision-Tailored Services, Privacy Payments, And Anonymous Transactions.
Decentralized Data Exchange (DDE)
Decentralized Data Exchange Allows Users To Share And Trade Data Without Intermediaries, Ensuring Transparency And Control. Protocols Should Support Secure Data Transactions Using Blockchain Technology To Maintain Data Integrity And Immutability. Smart Contracts Can Automate Agreements Between Data Providers And Consumers, Facilitating Trustless Interactions.
AI Inference
Integrating AI Inference Results Requires Protocols That Support Secure Data Processing While Protecting User Privacy. Techniques Such As Federated Learning And Diffusion Models Can Be Utilized To Train AI Models On Decentralized Data Without Exposing Sensitive Information. Protocols Should Enable Users To Gain AI Insights Without Disclosing Raw Data, Thereby Enhancing Data Utility While Preserving Privacy.
Identity-Based Precision-Tailored Services
Implementing Identity-Based Services Requires Leveraging Decentralized Identifiers (DIDs) To Authenticate Users While Maintaining Their Anonymity. Protocols Must Ensure That Users Can Access Customized Services Based On Verified Attributes (Like Age Or Location) Without Revealing Their Full Identity. This Can Be Achieved Through Zero-Knowledge Proofs, Allowing Users To Prove Identity Attributes Without Disclosing Personal Information.
Privacy Payments And Anonymous Transactions
Privacy Payment Protocols Should Support Secure Transactions While Hiding Sensitive Details Such As Transaction Amounts And Participant Identities. Cryptographic Techniques Like Zero-Knowledge Proofs And Ring Signatures Can Be Employed To Ensure Anonymity, Integrating Privacy Coins Can Further Enhance Transaction Confidentiality.