Create dataset

dataset

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+import pandas as pd
+import random
+from datetime import datetime, timedelta
+
+# Generate random timestamps
+def random_timestamp():
+    start = datetime(2024, 1, 1)
+    return start + timedelta(seconds=random.randint(0, 60 * 60 * 24 * 30))
+
+# Generate random IPs
+def random_ip():
+    return ".".join(str(random.randint(0, 255)) for _ in range(4))
+
+# Dataset parameters
+protocols = ["TCP", "UDP", "ICMP"]
+actions = ["Allow", "Deny"]
+threat_levels = ["Low", "Medium", "High", "Critical"]
+threat_types = ["DDoS", "Brute Force", "SQL Injection", "Port Scan", "Malware"]
+response_actions = ["Blocked", "Alerted", "Monitored", "Escalated"]
+
+# Create dataset
+data = {
+    "timestamp": [random_timestamp().strftime("%Y-%m-%d %H:%M:%S") for _ in range(500)],
+    "source_ip": [random_ip() for _ in range(500)],
+    "destination_ip": [random_ip() for _ in range(500)],
+    "protocol": [random.choice(protocols) for _ in range(500)],
+    "port": [random.randint(20, 65535) for _ in range(500)],
+    "action": [random.choice(actions) for _ in range(500)],
+    "threat_level": [random.choice(threat_levels) for _ in range(500)],
+    "threat_type": [random.choice(threat_types) for _ in range(500)],
+    "response_action": [random.choice(response_actions) for _ in range(500)],
+}
+
+# Convert to DataFrame
+df = pd.DataFrame(data)
+
+# Save as CSV
+df.to_csv("nsg_dataset.csv", index=False)
+
+print("✅ NSG Dataset (500 records) created successfully!")