Update dataset

dataset

@@ -1,24 +1,28 @@
 import pandas as pd
 import random
+import logging
 from datetime import datetime, timedelta
 
-# Generate random timestamps
+# Configure logging
+logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
+
+# Generate random timestamps within the last 90 days
 def random_timestamp():
-    start = datetime(2024, 1, 1)
-    return start + timedelta(seconds=random.randint(0, 60 * 60 * 24 * 30))
+    start = datetime.now() - timedelta(days=90)
+    return start + timedelta(seconds=random.randint(0, 60 * 60 * 24 * 90))
 
-# Generate random IPs
+# Generate random IP addresses
 def random_ip():
     return ".".join(str(random.randint(0, 255)) for _ in range(4))
 
-# Dataset parameters
+# Define dataset attributes
 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
+# Generate dataset
 data = {
     "timestamp": [random_timestamp().strftime("%Y-%m-%d %H:%M:%S") for _ in range(500)],
     "source_ip": [random_ip() for _ in range(500)],
@@ -34,7 +38,13 @@ data = {
 # Convert to DataFrame
 df = pd.DataFrame(data)
 
-# Save as CSV
-df.to_csv("nsg_dataset.csv", index=False)
+# Save as CSV with validation
+output_file = "nsg_dataset.csv"
+try:
+    df.to_csv(output_file, index=False)
+    logging.info(f"✅ NSG Dataset ({len(df)} records) saved to '{output_file}' successfully!")
+except Exception as e:
+    logging.error(f"❌ Error saving dataset: {e}")
 
-print("✅ NSG Dataset (500 records) created successfully!")
+# Preview dataset
+print(df.head())