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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Zero-Day Attack Monitoring Dashboard</title>
<!-- Bootstrap CSS CDN -->
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
<!-- Chart.js CDN for plotting -->
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.1/dist/chart.umd.min.js"></script>
<style>
body {
font-family: 'Inter', sans-serif;
background-color: #f0f2f5;
color: #333;
}
.navbar-brand {
font-weight: bold;
}
.card {
border-radius: 1rem;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
background-color: #fff;
}
.card-header {
background-color: #007bff;
color: white;
border-top-left-radius: 1rem;
border-top-right-radius: 1rem;
}
.dashboard-metric-value {
font-size: 2.5rem;
font-weight: bold;
color: #007bff;
}
.anomaly-indicator {
height: 50px;
border-radius: 0.5rem;
transition: background-color 0.5s ease;
}
.anomaly-low { background-color: #28a745; /* Green */ }
.anomaly-medium { background-color: #ffc107; /* Yellow */ }
.anomaly-high { background-color: #dc3545; /* Red */ }
.attack-reaction-box {
border: 2px solid #ccc;
padding: 1rem;
border-radius: 0.5rem;
min-height: 100px;
display: flex;
align-items: center;
justify-content: center;
font-weight: bold;
text-align: center;
transition: all 0.5s ease;
}
.attack-detected {
border-color: #dc3545;
background-color: #dc354522; /* Light red background */
color: #dc3545;
}
.chart-container {
position: relative;
height: 300px;
width: 100%;
}
/* Styling for the new simulation control buttons */
.simulation-control-card .btn {
border-radius: 0.5rem;
margin-right: 0.5rem; /* Space between buttons */
}
.badge-info {
background-color: #17a2b8; /* Bootstrap info blue */
color: white;
padding: 0.5em 0.75em;
border-radius: 0.5rem;
}
.recent-events-table {
max-height: 300px; /* Limit height for scrollability */
overflow-y: auto; /* Enable vertical scrolling */
}
</style>
</head>
<body>
<nav class="navbar navbar-expand-lg navbar-dark bg-dark">
<div class="container-fluid">
<a class="navbar-brand" href="#">
<img src="https://placehold.co/30x30/FFFFFF/000000?text=)\🛡️" alt="Logo" class="d-inline-block align-text-top me-2">
Financial Zero-Day Defense
</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNav">
<ul class="navbar-nav ms-auto">
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#">Dashboard</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#">Reports</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#">Settings</a>
</li>
</ul>
</div>
</div>
</nav>
<div class="container-fluid mt-4">
<h1 class="mb-4">Real-Time Zero-Day Attack Monitoring</h1>
<!-- Overall Metrics Dashboard -->
<div class="row mb-4">
<div class="col-md-3">
<div class="card text-center p-3">
<div class="card-body">
<h5 class="card-title text-muted">Total Transactions</h5>
<p class="dashboard-metric-value" id="totalTransactions">Loading...</p>
</div>
</div>
</div>
<div class="col-md-3">
<div class="card text-center p-3">
<div class="card-body">
<h5 class="card-title text-muted">Threats Detected (24h)</h5>
<p class="dashboard-metric-value text-danger" id="threatsDetected">Loading...</p>
</div>
</div>
</div>
<div class="col-md-3">
<div class="card text-center p-3">
<div class="card-body">
<h5 class="card-title text-muted">Blocked Attempts (24h)</h5>
<p class="dashboard-metric-value text-success" id="blockedAttempts">Loading...</p>
</div>
</div>
</div>
<div class="col-md-3">
<div class="card text-center p-3">
<div class="card-body">
<h5 class="card-title text-muted">Active Users</h5>
<p class="dashboard-metric-value text-info" id="activeUsers">Loading...</p>
</div>
</div>
</div>
</div>
<div class="row">
<!-- Anomaly Detection Section -->
<div class="col-md-6 mb-4">
<div class="card">
<div class="card-header">
Real-Time Anomaly Analysis
</div>
<div class="card-body">
<div class="mb-3">
<label for="anomalyThreshold" class="form-label">Anomaly Threshold: <span id="thresholdValue" class="badge bg-primary">5.0</span></label>
<input type="range" class="form-range" id="anomalyThreshold" min="0.1" max="10.0" step="0.1" value="5.0">
</div>
<h4 class="mb-3">Current Anomaly Score: <span id="currentAnomalyScore" class="badge bg-secondary">0.00</span></h4>
<div class="anomaly-indicator" id="anomalyIndicator"></div>
<p class="mt-3 fs-5" id="anomalyStatus">Waiting for data...</p>
</div>
</div>
</div>
<!-- System Reaction & Prevention -->
<div class="col-md-6 mb-4">
<div class="card">
<div class="card-header">
System Reaction & Prevention
</div>
<div class="card-body">
<div class="attack-reaction-box" id="attackReactionBox">
System is operating normally.
</div>
<p class="mt-3 text-muted">
*This section simulates immediate responses to detected zero-day attacks.
</p>
</div>
</div>
</div>
</div>
<div class="row mb-4">
<!-- Simulation Control Section -->
<div class="col-md-6 mb-4">
<div class="card simulation-control-card">
<div class="card-header">
Simulation Control
</div>
<div class="card-body text-center">
<p class="text-muted">Start or stop the real-time log simulation of financial transactions.</p>
<button class="btn btn-success" id="beginSimulationBtn">Begin Simulation</button>
<button class="btn btn-warning" id="stopSimulationBtn" disabled>Stop Simulation</button>
<div id="simulationStatus" class="mt-3 badge bg-info">Simulation Stopped</div>
</div>
</div>
</div>
<!-- Anomaly Score History Chart -->
<div class="col-md-6 mb-4">
<div class="card">
<div class="card-header">
Anomaly Score History
</div>
<div class="card-body">
<div class="chart-container">
<canvas id="anomalyScoreChart"></canvas>
</div>
</div>
</div>
</div>
</div>
<div class="row mb-4">
<!-- Recent Attack Events Table -->
<div class="col-md-6 mb-4">
<div class="card">
<div class="card-header">
Recent Attack Events
</div>
<div class="card-body recent-events-table">
<table class="table table-sm table-striped">
<thead>
<tr>
<th>Time</th>
<th>Anomaly Score</th>
<th>Status</th>
<th>Type</th>
</tr>
</thead>
<tbody id="recentEventsTableBody">
<!-- Events will be dynamically added here -->
<tr><td colspan="4" class="text-center text-muted">No recent attack events.</td></tr>
</tbody>
</table>
</div>
</div>
</div>
<!-- Daily Attack Breakdown Pie Chart -->
<div class="col-md-6 mb-4">
<div class="card">
<div class="card-header">
Daily Attack Breakdown
</div>
<div class="card-body">
<div class="chart-container">
<canvas id="attackBreakdownChart"></canvas>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Bootstrap JS Bundle with Popper -->
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
<script>
const anomalyThresholdSlider = document.getElementById('anomalyThreshold');
const thresholdValueSpan = document.getElementById('thresholdValue');
const currentAnomalyScoreSpan = document.getElementById('currentAnomalyScore');
const anomalyIndicatorDiv = document.getElementById('anomalyIndicator');
const anomalyStatusP = document.getElementById('anomalyStatus');
const attackReactionBox = document.getElementById('attackReactionBox');
// References to the new simulation control buttons and status
const beginSimulationBtn = document.getElementById('beginSimulationBtn');
const stopSimulationBtn = document.getElementById('stopSimulationBtn');
const simulationStatusSpan = document.getElementById('simulationStatus');
const recentEventsTableBody = document.getElementById('recentEventsTableBody');
let simulationIntervalId;
let isSimulationRunning = false;
let anomalyScoreHistory = [];
let anomalyLabelsHistory = [];
let chart; // Anomaly Score History Chart.js instance
let attackBreakdownChart; // Daily Attack Breakdown Chart.js instance
// Object to store counts of different attack types for the pie chart
let attackTypeCounts = {
'Phishing': 0, 'Malware': 0, 'DDoS': 0, 'Insider Threat': 0, 'Zero-Day Exploitation': 0, 'Benign': 0
};
// Flask will inject this from the backend.
const MODEL_INPUT_DIM = {{ MODEL_INPUT_DIM }};
// Initialize Chart.js for Anomaly Score History
function initializeAnomalyScoreChart() {
const ctx = document.getElementById('anomalyScoreChart').getContext('2d');
chart = new Chart(ctx, {
type: 'line',
data: {
labels: [], // Time labels
datasets: [{
label: 'Anomaly Score',
data: [],
borderColor: 'rgb(75, 192, 192)',
tension: 0.1,
fill: false,
pointRadius: 3,
pointBackgroundColor: function(context) {
const index = context.dataIndex;
const score = context.dataset.data[index];
return score > parseFloat(anomalyThresholdSlider.value) ? 'red' : 'green';
}
}, {
// Dataset for the anomaly threshold line
label: 'Anomaly Threshold',
data: Array(50).fill(parseFloat(anomalyThresholdSlider.value)),
borderColor: 'rgba(255, 99, 132, 0.7)',
borderDash: [5, 5],
tension: 0.1,
fill: false,
pointRadius: 0 // No points for the threshold line
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Time'
}
},
y: {
title: {
display: true,
text: 'Anomaly Score'
},
beginAtZero: true
}
},
plugins: {
tooltip: {
callbacks: {
label: function(context) {
let label = context.dataset.label || '';
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += context.parsed.y.toFixed(2);
}
// Only add (Anomaly) if it's the 'Anomaly Score' dataset and actually an anomaly
if (context.dataset.label === 'Anomaly Score') {
const index = context.dataIndex;
const isAnomaly = anomalyLabelsHistory[index];
if (isAnomaly) {
label += ' (Anomaly)';
}
}
return label;
}
}
}
}
}
});
// Update threshold line dynamically
anomalyThresholdSlider.addEventListener('input', (event) => {
const newThreshold = parseFloat(event.target.value);
thresholdValueSpan.textContent = newThreshold.toFixed(1);
chart.data.datasets[1].data.fill(newThreshold); // Update threshold line data
chart.update(); // Redraw chart
updateAnomalyIndicator(parseFloat(currentAnomalyScoreSpan.textContent)); // Re-evaluate indicator
});
}
// Initialize Chart.js for Daily Attack Breakdown
function initializeAttackBreakdownChart() {
const ctx = document.getElementById('attackBreakdownChart').getContext('2d');
attackBreakdownChart = new Chart(ctx, {
type: 'pie',
data: {
labels: Object.keys(attackTypeCounts),
datasets: [{
data: Object.values(attackTypeCounts),
backgroundColor: [
'rgba(255, 99, 132, 0.8)', // Phishing (Red)
'rgba(54, 162, 235, 0.8)', // Malware (Blue)
'rgba(255, 206, 86, 0.8)', // DDoS (Yellow)
'rgba(75, 192, 192, 0.8)', // Insider Threat (Teal)
'rgba(153, 102, 255, 0.8)', // Zero-Day Exploitation (Purple)
'rgba(40, 167, 69, 0.8)' // Benign (Green)
],
borderColor: '#fff',
borderWidth: 2
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
plugins: {
legend: {
position: 'top',
},
tooltip: {
callbacks: {
label: function(context) {
const label = context.label || '';
const value = context.parsed;
const total = context.dataset.data.reduce((acc, current) => acc + current, 0);
const percentage = total > 0 ? ((value / total) * 100).toFixed(1) + '%' : '0.0%';
return `${label}: ${value} (${percentage})`;
}
}
}
}
}
});
}
// Update Anomaly Indicator Color
function updateAnomalyIndicator(score) {
anomalyIndicatorDiv.classList.remove('anomaly-low', 'anomaly-medium', 'anomaly-high');
const threshold = parseFloat(anomalyThresholdSlider.value);
if (score > threshold * 1.2) { // Significantly above threshold
anomalyIndicatorDiv.classList.add('anomaly-high');
anomalyStatusP.textContent = 'HIGH ANOMALY DETECTED!';
anomalyStatusP.style.color = '#dc3545';
attackReactionBox.classList.add('attack-detected');
} else if (score > threshold) { // Above threshold
anomalyIndicatorDiv.classList.add('anomaly-medium');
anomalyStatusP.textContent = 'Anomaly Detected!';
anomalyStatusP.style.color = '#ffc107';
attackReactionBox.classList.add('attack-detected');
} else {
anomalyIndicatorDiv.classList.add('anomaly-low');
anomalyStatusP.textContent = 'Normal Behavior';
anomalyStatusP.style.color = '#28a745';
attackReactionBox.classList.remove('attack-detected');
}
}
// Simulate random log data for demonstration
function generateRandomLogFeatures(type) {
let features = [];
// Use MODEL_INPUT_DIM passed from Flask backend
for (let i = 0; i < MODEL_INPUT_DIM; i++) {
if (type === 'benign') {
// Simulate benign data (e.g., values around 5, small std dev)
features.push(Math.random() * 2 + 4); // Range 4 to 6
} else {
// Simulate anomaly data (e.g., values outside normal range)
features.push(Math.random() * 5 - 10); // Range -10 to -5
}
}
return features;
}
// Send log data to Flask backend for analysis
async function sendLogForAnalysis() {
// Determine if it's a benign or anomaly log based on a probability
const randomType = Math.random() < 0.15 ? 'anomaly' : 'benign'; // 15% chance of anomaly
const logFeatures = generateRandomLogFeatures(randomType);
try {
const response = await fetch('/api/analyze_log', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ log_features: logFeatures }),
});
const result = await response.json();
if (result.error) {
console.error("API Error:", result.error);
anomalyStatusP.textContent = `Error: ${result.error}`;
anomalyStatusP.style.color = '#dc3545';
return;
}
currentAnomalyScoreSpan.textContent = result.score.toFixed(2);
updateAnomalyIndicator(result.score);
attackReactionBox.textContent = result.reaction || "System is operating normally.";
// Update Anomaly Score History chart
const now = new Date();
chart.data.labels.push(now.toLocaleTimeString());
chart.data.datasets[0].data.push(result.score);
anomalyLabelsHistory.push(result.is_anomaly);
// Limit chart history to, e.g., last 50 points
const maxHistory = 50;
if (chart.data.labels.length > maxHistory) {
chart.data.labels.shift();
chart.data.datasets[0].data.shift();
anomalyLabelsHistory.shift();
}
chart.update();
// Update Recent Attack Events table
if (result.is_anomaly) {
// Remove initial "No recent events" row if it exists
if (recentEventsTableBody.children.length === 1 && recentEventsTableBody.children[0].textContent.includes('No recent attack events')) {
recentEventsTableBody.innerHTML = '';
}
const row = recentEventsTableBody.insertRow(0); // Insert at top
const timeCell = row.insertCell(0);
const scoreCell = row.insertCell(1);
const statusCell = row.insertCell(2);
const typeCell = row.insertCell(3);
timeCell.textContent = now.toLocaleTimeString();
scoreCell.textContent = result.score.toFixed(2);
statusCell.textContent = result.status;
statusCell.classList.add(result.is_anomaly ? 'text-danger' : 'text-success'); // Add color
typeCell.textContent = result.attack_type;
// Update Attack Breakdown Pie Chart
attackTypeCounts[result.attack_type]++;
} else {
// Always count benign events too, just for the pie chart
attackTypeCounts['Benign']++;
}
updateAttackBreakdownChart(); // Update pie chart
} catch (error) {
console.error("Fetch Error:", error);
anomalyStatusP.textContent = `Failed to connect to backend: ${error.message}. Is the Flask server running?`;
anomalyStatusP.style.color = '#dc3545';
}
}
// Update dashboard metrics
async function updateMetrics() {
try {
const response = await fetch('/api/metrics');
const metrics = await response.json();
document.getElementById('totalTransactions').textContent = metrics.totalTransactions.toLocaleString();
document.getElementById('threatsDetected').textContent = metrics.threatsDetected.toLocaleString();
document.getElementById('blockedAttempts').textContent = metrics.blockedAttempts.toLocaleString();
document.getElementById('activeUsers').textContent = metrics.activeUsers.toLocaleString();
} catch (error) {
console.error("Error fetching metrics:", error);
}
}
// Update Daily Attack Breakdown Pie Chart data
function updateAttackBreakdownChart() {
attackBreakdownChart.data.datasets[0].data = Object.values(attackTypeCounts);
attackBreakdownChart.update();
}
function startSimulation() {
if (isSimulationRunning) return; // Prevent multiple intervals
simulationIntervalId = setInterval(() => {
sendLogForAnalysis(); // Send random log
updateMetrics(); // Update general metrics
}, 2000); // Update every 2 seconds
isSimulationRunning = true;
beginSimulationBtn.disabled = true;
stopSimulationBtn.disabled = false;
simulationStatusSpan.textContent = "Simulation Running";
simulationStatusSpan.classList.remove('bg-info', 'bg-warning');
simulationStatusSpan.classList.add('bg-success');
console.log("Simulation started.");
}
function stopSimulation() {
clearInterval(simulationIntervalId);
isSimulationRunning = false;
beginSimulationBtn.disabled = false;
stopSimulationBtn.disabled = true;
simulationStatusSpan.textContent = "Simulation Stopped";
simulationStatusSpan.classList.remove('bg-success');
simulationStatusSpan.classList.add('bg-warning');
console.log("Simulation stopped.");
}
// Initial setup and event listeners
document.addEventListener('DOMContentLoaded', () => {
initializeAnomalyScoreChart();
initializeAttackBreakdownChart();
updateMetrics(); // Load initial metrics and display "Waiting for data..."
// Attach event listeners to buttons
beginSimulationBtn.addEventListener('click', startSimulation);
stopSimulationBtn.addEventListener('click', stopSimulation);
});
</script>
</body>
</html>
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