Example_Lifelong_Learning_Model_for_Cybersecurity_Threat_Intelligence.ipynb

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        "<a href=\"https://colab.research.google.com/github/OneFineStarstuff/OneFineStardust/blob/main/Example_Lifelong_Learning_Model_for_Cybersecurity_Threat_Intelligence.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "\n",
        "# Define a simple neural network\n",
        "class CyberLifelongModel(nn.Module):\n",
        "    def __init__(self):\n",
        "        super(CyberLifelongModel, self).__init__()\n",
        "        self.fc1 = nn.Linear(10, 50)\n",
        "        self.fc2 = nn.Linear(50, 1)\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = torch.relu(self.fc1(x))\n",
        "        x = torch.sigmoid(self.fc2(x))\n",
        "        return x\n",
        "\n",
        "# Simulated function to fetch new threat intelligence data\n",
        "def get_new_threat_intel():\n",
        "    new_data = torch.randn(20, 10)  # 20 new samples, 10 features each\n",
        "    new_targets = torch.randint(0, 2, (20,))  # Binary targets for classification\n",
        "    return new_data, new_targets\n",
        "\n",
        "# Function to update model with new data\n",
        "def update_with_new_data(model, new_data, new_targets):\n",
        "    criterion = nn.BCELoss()\n",
        "    optimizer = optim.SGD(model.parameters(), lr=0.01)\n",
        "\n",
        "    model.train()\n",
        "    optimizer.zero_grad()\n",
        "    outputs = model(new_data).view(-1)\n",
        "    loss = criterion(outputs, new_targets.float())\n",
        "    loss.backward()\n",
        "    optimizer.step()\n",
        "\n",
        "    print(f\"Model updated with new data, Loss: {loss.item()}\")\n",
        "\n",
        "# Initialize the model and update with new threat data\n",
        "model = CyberLifelongModel()\n",
        "new_data, new_targets = get_new_threat_intel()\n",
        "update_with_new_data(model, new_data, new_targets)\n",
        "print(\"Cybersecurity Model Updated with New Threat Information\")"
      ]
    }
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