Create tab4_intrusion_detection.py

tab/tab4_intrusion_detection.py

@@ -0,0 +1,29 @@
+import gradio as gr
+import pennylane as qml
+
+def quantum_intrusion_detection(data_stream):
+    dev = qml.device("default.qubit", wires=2)
+
+    @qml.qnode(dev)
+    def classifier(x):
+        qml.RY(x[0], wires=0)
+        qml.RY(x[1], wires=1)
+        qml.CNOT(wires=[0, 1])
+        return qml.expval(qml.PauliZ(0))
+
+    try:
+        x = [float(i) for i in data_stream.split(',')]
+        score = abs(classifier(x))
+        return "🚨 Intrusion Detected" if score > 0.7 else "✅ Normal Activity"
+    except:
+        return "❌ Invalid input. Format: 0.3,0.7"
+
+def get_tab4_intrusion():
+    with gr.Tab("4️⃣ Quantum Intrusion Detection"):
+        data_input = gr.Textbox(label="Data Stream (e.g. 0.3,0.7)")
+        detect_btn = gr.Button("Analyze")
+        detection_output = gr.Textbox(label="Detection Result")
+
+        detect_btn.click(quantum_intrusion_detection,
+                         inputs=[data_input],
+                         outputs=[detection_output])