SivaMallikarjun/NSG_dataset

NSG Dataset (Network Security Group Logs)

License

MIT License

Dataset Overview

The NSG Dataset contains 500 records of simulated Network Security Group (NSG) logs to analyze security threats, detect anomalies, and build AI-driven threat prediction models. It includes details on network traffic, threat levels, and response actions.

Dataset Files

• nsg_dataset.csv - Contains the main dataset with 500 records.
• README.md - Documentation for understanding and using the dataset.

Data Schema

Column Name	Data Type	Description
timestamp	string (YYYY-MM-DD HH:MM:SS)	Date and time of the network event
source_ip	string (IPv4)	IP address of the source device
destination_ip	string (IPv4)	IP address of the target device
protocol	string	Network protocol (TCP, UDP, ICMP)
port	integer	Destination port (20 - 65535)
action	string	Whether the traffic was Allowed or Denied
threat_level	string	Severity of the security event (Low, Medium, High, Critical)
threat_type	string	Type of attack (DDoS, Brute Force, SQL Injection, Port Scan, Malware)
response_action	string	Action taken (Blocked, Alerted, Monitored, Escalated)

Dataset Statistics

• Total Records: 500
• Unique Source IPs: ~400+
• Threat Level Distribution:
  • Low (~25%)
  • Medium (~30%)
  • High (~25%)
  • Critical (~20%)

Use Cases

• Anomaly Detection: Identify unusual traffic patterns.
• Threat Intelligence: Analyze network security trends.
• Machine Learning Models: Train AI models for cyber threat prediction.
• Power BI Dashboards: Visualize security logs for real-time monitoring.

How to Use the Dataset

Python (Pandas) Example

import pandas as pd

df = pd.read_csv("nsg_dataset.csv")
print(df.head())  # Preview first 5 records