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

Generating Content Identifiers

After the data is encrypted on the client side, the next step is generating a Content Identifier, or CID. The CID acts as a unique cryptographic fingerprint representing the encrypted data within the decentralized storage network.

To create the CID, the encrypted data is processed through a cryptographic hash function, such as SHA-256. This function produces a fixed-length hash value that is directly linked to the exact content of the encrypted file. Any modification to the encrypted data, even a single bit, results in a completely different CID. This characteristic provides a tamper-evident mechanism that allows users and the system to verify the integrity of the stored data with certainty.

The CID serves as a content-based address used within the IPFS network to locate and retrieve the corresponding encrypted file. Unlike traditional address systems that point to a specific physical location, content addressing locates data based on its content. This allows the network to retrieve files from any node storing the correct encrypted data, improving data availability and resilience against failures or censorship.

The use of CIDs also supports deduplication. When identical encrypted files are uploaded by multiple users, the hashing process produces the same CID for each copy. This allows the network to store a single instance of the data instead of multiple duplicates, saving storage space and reducing bandwidth consumption.

In addition, CIDs enable efficient caching by storage nodes, which can quickly verify the requested content by matching its CID. This makes data delivery faster and more reliable across the distributed storage network.

Generating CIDs is a crucial step that links encryption with decentralized storage, providing a secure, verifiable, and efficient method to identify and retrieve encrypted data within the Encryptum protocol.

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Last updated 2 days ago