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Update app.py
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app.py
CHANGED
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@@ -6,8 +6,12 @@ from qiskit_aer import Aer
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from cryptography.fernet import Fernet
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import random
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import base64
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# 1.
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def generate_qkd_key(length=128):
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shared_key = ""
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while len(shared_key) < length:
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@@ -18,49 +22,56 @@ def generate_qkd_key(length=128):
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shared_key += str(alice_bit)
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return shared_key
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# 2. Convert QKD
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def bb84_to_fernet_key(qkey_binary_str):
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if len(qkey_binary_str) < 256:
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raise ValueError("QKD key must be at least 256 bits to generate Fernet key.")
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binary_256 = qkey_binary_str[:256]
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int_val = int(binary_256, 2)
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byte_val = int_val.to_bytes(32, 'big')
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fernet_key = base64.urlsafe_b64encode(byte_val)
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if len(fernet_key) != 44:
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raise ValueError("Generated Fernet key is
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return fernet_key
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# 3. Encrypt
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def quantum_encrypt(message, qkd_key):
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if not qkd_key or len(qkd_key) < 72:
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return "❌ QKD key too short. Minimum
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try:
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fernet_key = bb84_to_fernet_key(qkd_key)
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f = Fernet(fernet_key)
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encrypted_message = f.encrypt(message.encode())
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except Exception as e:
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return f"Encryption error: {str(e)}", ""
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# 4. Decrypt
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def quantum_decrypt(encrypted_message, key):
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try:
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f = Fernet(key.encode())
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return decrypted_message.decode()
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except Exception as e:
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return f"Decryption error: {str(e)}"
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# 5.
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def quantum_intrusion_detection(data_stream):
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dev = qml.device("default.qubit", wires=2)
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@qml.qnode(dev)
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def
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qml.RY(x[0], wires=0)
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qml.RY(x[1], wires=1)
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qml.CNOT(wires=[0, 1])
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@@ -68,12 +79,38 @@ def quantum_intrusion_detection(data_stream):
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try:
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x = [float(i) for i in data_stream.split(',')]
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return "🚨 Intrusion Detected" if
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except:
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return "❌ Invalid input.
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#
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def quantum_random_number():
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backend = Aer.get_backend('aer_simulator')
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circuit = QuantumCircuit(1, 1)
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@@ -84,17 +121,15 @@ def quantum_random_number():
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counts = result.get_counts()
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return list(counts.keys())[0]
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#
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def create_interface():
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with gr.Blocks(title="Quantum Cybersecurity Suite") as demo:
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gr.Markdown("# 🛡️ Quantum Cybersecurity Suite")
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gr.Markdown("Simulate secure quantum protocols for key distribution, encryption, intrusion detection, and randomness.")
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qkd_key_state = gr.State("")
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# Tab 1: QKD Key
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with gr.Tab("1️⃣ Quantum Key Distribution"):
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key_length = gr.Slider(
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qkd_btn = gr.Button("Generate Quantum Key")
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qkd_output = gr.Textbox(label="Generated QKD Key")
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@@ -102,45 +137,59 @@ def create_interface():
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key = generate_qkd_key(length)
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return key, key
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qkd_btn.click(
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inputs=[key_length],
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outputs=[qkd_output, qkd_key_state])
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# Tab 2:
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with gr.Tab("2️⃣ Quantum Encryption"):
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msg_input = gr.Textbox(label="Message to Encrypt")
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encrypt_btn = gr.Button("Encrypt with QKD Key")
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encrypted_output = gr.Textbox(label="Encrypted Message")
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key_used_output = gr.Textbox(label="Fernet Key Used")
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encrypt_btn.click(
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inputs=[msg_input, qkd_key_state],
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outputs=[encrypted_output, key_used_output])
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# Tab 3:
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with gr.Tab("3️⃣ Quantum Decryption"):
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encrypted_input = gr.Textbox(label="Encrypted Message")
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key_input = gr.Textbox(label="Fernet Key")
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decrypt_btn = gr.Button("Decrypt")
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decrypted_output = gr.Textbox(label="Decrypted Message")
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decrypt_btn.click(
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inputs=[encrypted_input, key_input],
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outputs=[decrypted_output])
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# Tab 4:
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with gr.Tab("4️⃣ Quantum Intrusion Detection"):
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data_input = gr.Textbox(label="Data Stream (e.g. 0.3,0.7)")
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detect_btn = gr.Button("Analyze")
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detection_output = gr.Textbox(label="Detection Result")
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detect_btn.click(quantum_intrusion_detection,
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inputs=[data_input],
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outputs=[detection_output])
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return demo
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#
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if __name__ == "__main__":
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demo = create_interface()
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demo.launch(share=True)
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from cryptography.fernet import Fernet
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import random
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import base64
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import matplotlib.pyplot as plt
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import qrcode
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from io import BytesIO
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from PIL import Image
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# 1. Generate QKD Key (respects target usable length)
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def generate_qkd_key(length=128):
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shared_key = ""
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while len(shared_key) < length:
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shared_key += str(alice_bit)
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return shared_key
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# 2. Convert QKD key to Fernet key (needs 256 bits)
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def bb84_to_fernet_key(qkey_binary_str):
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if len(qkey_binary_str) < 256:
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raise ValueError("QKD key must be at least 256 bits to generate Fernet key.")
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binary_256 = qkey_binary_str[:256]
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int_val = int(binary_256, 2)
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byte_val = int_val.to_bytes(32, 'big')
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fernet_key = base64.urlsafe_b64encode(byte_val)
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if len(fernet_key) != 44:
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raise ValueError("Generated Fernet key is invalid.")
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return fernet_key
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# 3. Encrypt using Fernet key
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def quantum_encrypt(message, qkd_key):
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if not qkd_key or len(qkd_key) < 72:
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return "❌ QKD key too short. Minimum 72 bits required.", "", None
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try:
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fernet_key = bb84_to_fernet_key(qkd_key)
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f = Fernet(fernet_key)
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encrypted_message = f.encrypt(message.encode())
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qr_img = generate_qr_image(fernet_key.decode())
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return encrypted_message.decode(), fernet_key.decode(), qr_img
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except Exception as e:
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return f"Encryption error: {str(e)}", "", None
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# 4. Decrypt
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def quantum_decrypt(encrypted_message, key):
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try:
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f = Fernet(key.encode())
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return f.decrypt(encrypted_message.encode()).decode()
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except Exception as e:
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return f"Decryption error: {str(e)}"
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# 5. QR Code Generator
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def generate_qr_image(data):
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qr = qrcode.QRCode(box_size=6, border=2)
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qr.add_data(data)
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qr.make(fit=True)
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img = qr.make_image(fill_color="black", back_color="white")
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buffer = BytesIO()
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img.save(buffer, format="PNG")
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buffer.seek(0)
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return Image.open(buffer)
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# 6. Intrusion Detection
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def quantum_intrusion_detection(data_stream):
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dev = qml.device("default.qubit", wires=2)
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@qml.qnode(dev)
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def classifier(x):
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qml.RY(x[0], wires=0)
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qml.RY(x[1], wires=1)
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qml.CNOT(wires=[0, 1])
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try:
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x = [float(i) for i in data_stream.split(',')]
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score = abs(classifier(x))
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return "🚨 Intrusion Detected" if score > 0.7 else "✅ Normal Activity"
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except:
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return "❌ Invalid input. Format: 0.3,0.7"
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# 7. Quantum Noise Simulation
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def simulate_noise(bits=100):
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original = np.random.choice([0, 1], size=bits)
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noisy = [bit if random.random() > 0.1 else 1 - bit for bit in original]
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plt.figure(figsize=(10, 1))
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plt.plot(original, 'bo', label="Original")
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plt.plot(noisy, 'rx', label="With Noise")
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plt.yticks([0, 1])
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plt.legend()
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plt.title("Quantum Noise Simulation (Eavesdropper Effect)")
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buf = BytesIO()
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plt.savefig(buf, format='png')
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buf.seek(0)
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return Image.open(buf)
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# 8. Randomness Visualizer
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def visualize_qkd_bits(qkd_key):
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ones = qkd_key.count('1')
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zeros = qkd_key.count('0')
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plt.bar(['0', '1'], [zeros, ones], color=['blue', 'green'])
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plt.title("Randomness Distribution in QKD Key")
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buf = BytesIO()
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plt.savefig(buf, format='png')
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buf.seek(0)
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return Image.open(buf)
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# 9. Quantum Random Number Generator
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def quantum_random_number():
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backend = Aer.get_backend('aer_simulator')
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circuit = QuantumCircuit(1, 1)
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counts = result.get_counts()
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return list(counts.keys())[0]
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# 10. Gradio Interface
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def create_interface():
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with gr.Blocks(title="Quantum Cybersecurity Suite") as demo:
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gr.Markdown("# 🛡️ Quantum Cybersecurity Suite")
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qkd_key_state = gr.State("")
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# Tab 1: QKD Key
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with gr.Tab("1️⃣ Quantum Key Distribution"):
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key_length = gr.Slider(72, 512, step=8, value=128, label="Select QKD Key Length (≥ 72 bits)")
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qkd_btn = gr.Button("Generate Quantum Key")
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qkd_output = gr.Textbox(label="Generated QKD Key")
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key = generate_qkd_key(length)
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return key, key
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qkd_btn.click(generate_and_store_key,
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inputs=[key_length],
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outputs=[qkd_output, qkd_key_state])
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# Tab 2: Encryption
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with gr.Tab("2️⃣ Quantum Encryption"):
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msg_input = gr.Textbox(label="Message to Encrypt")
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encrypt_btn = gr.Button("Encrypt with QKD Key")
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encrypted_output = gr.Textbox(label="Encrypted Message")
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key_used_output = gr.Textbox(label="Fernet Key Used")
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qr_code_output = gr.Image(label="QR Code of Key")
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encrypt_btn.click(quantum_encrypt,
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inputs=[msg_input, qkd_key_state],
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outputs=[encrypted_output, key_used_output, qr_code_output])
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# Tab 3: Decryption
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with gr.Tab("3️⃣ Quantum Decryption"):
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encrypted_input = gr.Textbox(label="Encrypted Message")
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key_input = gr.Textbox(label="Fernet Key")
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decrypt_btn = gr.Button("Decrypt")
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decrypted_output = gr.Textbox(label="Decrypted Message")
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decrypt_btn.click(quantum_decrypt,
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inputs=[encrypted_input, key_input],
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outputs=[decrypted_output])
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# Tab 4: Intrusion Detection
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with gr.Tab("4️⃣ Quantum Intrusion Detection"):
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data_input = gr.Textbox(label="Data Stream (e.g. 0.3,0.7)")
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detect_btn = gr.Button("Analyze")
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detection_output = gr.Textbox(label="Detection Result")
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detect_btn.click(quantum_intrusion_detection,
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inputs=[data_input],
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outputs=[detection_output])
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# Tab 5: Quantum Noise Simulation
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with gr.Tab("5️⃣ Eavesdropper Noise Simulation"):
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noise_btn = gr.Button("Simulate Noise")
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noise_output = gr.Image(label="Quantum Channel with Noise")
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noise_btn.click(simulate_noise, outputs=noise_output)
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# Tab 6: Randomness Distribution
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with gr.Tab("6️⃣ QKD Key Randomness Visualizer"):
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viz_btn = gr.Button("Visualize Randomness")
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viz_output = gr.Image(label="Randomness Bar Graph")
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viz_btn.click(fn=visualize_qkd_bits,
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inputs=[qkd_key_state],
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outputs=[viz_output])
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return demo
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# 11. Launch
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if __name__ == "__main__":
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demo = create_interface()
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demo.launch(share=True)
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