RoboFlux Whitepaper
  • RoboFlux AI: Comprehensive Technical Whitepaper
  • 1. Introduction
  • 2. System Overview
  • 3. Modular Architecture
  • 4. Data Ingestion and Preprocessing Layer
    • 4.1 Data Stream Typologies
    • 4.2 Data Pipeline Orchestration
    • 4.3 Data Normalization & Feature Engineering
  • 5. Anomaly Detection Subsystem
    • 5.1 Tensor-Based Anomaly Detection
    • 5.2 Online Learning Adaptation
  • 6. Quantum-Inspired Path and Task Optimization
  • 7. Secure Webhook Integration Framework
  • 8. AI Knowledge Hub Implementation
  • 9. Report Generation and Distribution Mechanism
  • 10. Deployment Modalities
  • 11. Cybersecurity and Compliance Protocols
  • 12. Future Roadmap and Extensibility
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7. Secure Webhook Integration Framework

Each registered endpoint is provisioned a unique, HMAC-SHA512 hashed secret combined with its Telegram Chat ID or system UUID.

  • Key Derivation Function (KDF): Generates per-session webhook tokens.

  • Replay Protection: Implements nonce and timestamp validation to mitigate replay attacks.

7.2 Encrypted Payload Transport

All webhook payloads are encapsulated within AES-256-GCM encrypted JSON packets, ensuring confidentiality and integrity.

7.3 Integration Workflow

  1. Robot subsystem triggers operational event.

  2. Event payload transmitted via HTTPS POST webhook.

  3. SIG validates signature, decrypts payload.

  4. Payload routed to designated microservice.

  5. Response payload encrypted and returned.

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Last updated 12 days ago