OCTOPIE - Machine Learning Anti-Virus Experiment

🧬 Digital Immune System: Pathogen-Inspired Cyber Defense Framework

From cells to cyber — building a smarter, more adaptive antivirus inspired by you know… the actual human immune system.

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🧠 What’s This All About?

Traditional antivirus systems? They’re like bouncers who only recognise last week’s troublemakers.
This project flips that idea — building a bio-inspired defense system that learns, adapts, and remembers threats, just like your body does when it fights viruses and bacteria.

We’re borrowing ideas from immunology and machine learning to create an adaptive, layered antimalware architecture that doesn’t just react — it evolves.

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⚙️ How It Works

Think of your computer as a body. Each layer of this digital immune system plays the role of a biological counterpart:

🧩 Biological Function	💻 Cybersecurity Role	🔬 Implementation Layer
Sensory Receptors	Collect system telemetry	Layer 1: Signal Acquisition
Innate Immunity	Heuristic & NSA detection	Layer 2: Innate Detection
Adaptive Immunity	ML-based analysis	Layer 3: Adaptive Detection
Inflammatory Response	Quarantine & rollback	Layer 4: Response & Containment
Memory Cells	Reinforcement & federated learning	Layer 5: Memory & Learning

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🧩 The System Architecture (In a Nutshell)

graph TD
  A[Signal Acquisition Layer] --> B[Innate Detection Layer]
  B --> C[Adaptive Detection Layer]
  C --> D[Response & Containment Layer]
  D --> E[Memory & Learning Layer]
  E --> B
  subgraph "Biological Analogy"
    A1[Sensory Receptors]
    B1[Macrophages / Innate Cells]
    C1[T-Cells / Dendritic Cells]
    D1[Inflammation / Containment]
    E1[Memory Cells]
  end
  A --- A1
  B --- B1
  C --- C1
  D --- D1
  E --- E1
  linkStyle 0,1,2,3,4 stroke:#2962FF,stroke-width:2px

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