AnamolyDetectionPRMLProject/index.html at main · Nishu39321/AnamolyDetectionPRMLProject · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Real-Time NIDS</title>
    <style>
        body {
            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
            margin: 0;
            padding: 0;
            background: linear-gradient(to right, #ece9e6, #ffffff);
            display: flex;
            flex-direction: column;
            align-items: center;
            justify-content: center;
            height: 100vh;
            text-align: center;
            color: #333;
        }

        h1 {
            font-size: 36px;
            margin-bottom: 10px;
            color: #2c3e50;
        }

        h3 {
            margin: 20px 0 10px;
            color: #666;
        }

        button {
            padding: 12px 24px;
            font-size: 18px;
            margin: 10px;
            border: none;
            border-radius: 6px;
            cursor: pointer;
            background-color: #3498db;
            color: white;
            transition: background-color 0.3s, transform 0.2s;
        }

        button:hover {
            background-color: #2980b9;
            transform: scale(1.05);
        }

        input[type="file"] {
            padding: 10px;
            font-size: 16px;
            margin-top: 10px;
        }

        #status {
            margin-top: 30px;
            font-size: 18px;
            font-style: italic;
            color: #8e44ad;
        }

        #results {
            margin-top: 10px;
            font-size: 22px;
            font-weight: bold;
        }

        .container {
            background: #ffffff;
            padding: 40px;
            border-radius: 12px;
            box-shadow: 0 4px 20px rgba(0, 0, 0, 0.1);
            max-width: 500px;
            width: 90%;
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>Network Intrusion Detection System</h1>
        <button onclick="startMonitoring()">📡 Capture Real Traffic</button>

        <h3>OR</h3>
        <input type="file" id="fileInput" />
        <button onclick="checkManually()">📁 Check Manually</button>

        <div id="status"></div>
        <div id="results"></div>
    </div>

    <script>
        function fetchResults() {
            fetch('/get-predictions')
                .then(response => response.json())
                .then(data => {
                    if (data.predictions) {
                        const resultText = data.predictions.some(p => p.includes('anomaly'))
                            ? "Anomaly Detected!"
                            : "Traffic Appears Normal.";
                        document.getElementById("results").innerText = resultText;
                        document.getElementById("status").innerText = "Prediction Complete";
                    } else if (data.status === 'processing') {
                        document.getElementById("status").innerText = "Still processing... checking again soon.";
                        setTimeout(fetchResults, 3000);
                    } else if (data.error) {
                        document.getElementById("status").innerText = "Error: " + data.error;
                    } else {
                        document.getElementById("status").innerText = data.message || "Waiting to start.";
                    }
                });
        }

        function checkManually() {
            const fileInput = document.getElementById('fileInput');
            const file = fileInput.files[0];

            if (!file) {
                alert("Please select a file first.");
                return;
            }

            const formData = new FormData();
            formData.append("file", file);

            document.getElementById("status").innerText = "Uploading and processing file...";
            document.getElementById("results").innerText = "";

            fetch('/manual-check', {
                method: 'POST',
                body: formData
            })
                .then(response => response.json())
                .then(data => {
                    if (data.predictions) {
                        const resultText = data.predictions.some(p => p.includes('anomaly'))
                            ? "Anomaly Detected in File!"
                            : "File Traffic Appears Normal.";
                        document.getElementById("results").innerText = resultText;
                        document.getElementById("status").innerText = "Manual File Prediction Complete";
                    } else if (data.error) {
                        document.getElementById("status").innerText = "Error: " + data.error;
                    }
                })
                .catch(error => {
                    document.getElementById("status").innerText = "Error: " + error;
                });
        }

        function startMonitoring() {
            document.getElementById("status").innerText = "🔍 Monitoring started... Please wait.";
            document.getElementById("results").innerText = "";

            fetch('/start-monitoring', { method: 'POST' })
                .then(response => response.json())
                .then(data => {
                    console.log(data.status);
                    startCountdown(30);
                    pollForResults();
                });
        }

        function startCountdown(seconds) {
            let remaining = seconds;
            const statusDiv = document.getElementById("status");

            const interval = setInterval(() => {
                statusDiv.innerHTML = `⏳ Still processing... The data is captured in <strong>${remaining}</strong> seconds.`;
                remaining--;

                if (remaining < 0) {
                    clearInterval(interval);
                }
            }, 1000);
        }


        function pollForResults() {
            fetch('/get-predictions')
                .then(response => response.json())
                .then(data => {
                    if (data.predictions) {
                        const resultText = data.predictions.includes('anomaly')
                            ? "Anomaly Detected!"
                            : "Traffic Appears Normal.";
                        document.getElementById("results").innerText = resultText;
                        document.getElementById("status").innerText = "Prediction Complete!";
                    } else {
                        setTimeout(pollForResults, 3000);
                    }
                })
                .catch(err => {
                    document.getElementById("status").innerText = "Error checking predictions.";
                    console.error(err);
                });
        }
    </script>
</body>
</html>