Encryptum
  • Introduction
    • What is Encryptum?
    • Why Encryptum?
    • Mission & Vision
  • Core Concepts
    • Decentralized Storage
    • AI Memory
    • Encryption
    • Model Context Protocol (MCP)
  • The Encryptum Architecture
    • System Components
    • Data Lifecycle
    • Context Indexing Layer
    • AI Memory Manager
    • Data Access Gateway
    • Analytics and Telemetry Module
  • Tokenomics
    • Token Overview
    • Incentive Mechanisms
    • Token Distribution
    • Governance and Upgrade Layer (Future ENCT Utility)
  • Storage & Retrieval Process
    • Data Encryption
    • Integration with AI Memory and Context Management
    • Verification and Integrity Checks
    • Data Retrieval and Access Control
    • Metadata Registration via Smart Contracts
    • Uploading to IPFS Network
    • Generating Content Identifiers
    • Data Upload
    • Data Retrieval
  • Validation & Security
    • Validator Roles and Data Integrity
    • Proof of Storage and Access Control
    • Encryption and Privacy Protections
    • Incentive Structures and Network Resilience
  • Ecosystem & Partnerships
    • Ecosystem Overview
    • Strategic Partnerships
  • Real-World Use Case
    • Decentralized Storage
    • AI Agent Memory
    • Combined Intelligence & Storage
    • Frontier Use Cases
    • The Future
  • Roadmap
    • Q2 2025
    • Q3 2025
    • Q4 2025
    • 2026 and Beyond
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  1. Storage & Retrieval Process

Uploading to IPFS Network

Once the encrypted data has been assigned its unique Content Identifier (CID), it is distributed across the InterPlanetary File System (IPFS) network for storage. IPFS is a peer-to-peer decentralized storage protocol designed to provide high availability and resilience by distributing data across numerous independent nodes rather than relying on centralized servers.

The encrypted file, referenced by its CID, is uploaded to multiple IPFS nodes. These nodes can be operated by a diverse group of participants, including community members, third-party storage providers, and even the users themselves. Each node stores one or more copies of the encrypted data, creating redundancy that is vital for fault tolerance. This redundancy ensures that if one or several nodes go offline or become unreachable, the data can still be retrieved from other nodes holding the same content.

Decentralized distribution across IPFS nodes eliminates single points of failure. Unlike traditional centralized storage services, where downtime or attacks on a single server can result in data unavailability or loss, the IPFS network’s distributed nature protects against such vulnerabilities. The network is inherently resistant to censorship attempts because data is spread across multiple jurisdictions and operators, making it difficult for any one entity to block or remove content.

IPFS also uses a distributed hash table (DHT) to efficiently locate nodes storing the requested content. When a user or AI agent wants to retrieve data, the network queries the DHT to find the nodes holding the encrypted file corresponding to the CID. This dynamic and resilient retrieval mechanism ensures consistent access even in a highly distributed environment.

By leveraging IPFS, Encryptum provides a secure and reliable decentralized storage infrastructure that enhances data availability, durability, and censorship resistance, meeting the demanding needs of AI-native systems and applications.


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Last updated 2 days ago