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--- |
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title: NSG Dataset (Network Security Group Logs) |
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license: mit |
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datasets: |
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- nsg_dataset |
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tags: |
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- cybersecurity |
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- network-security |
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- anomaly-detection |
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- machine-learning |
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--- |
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# NSG Dataset (Network Security Group Logs) |
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## License |
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**MIT License** |
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## Dataset Overview |
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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. |
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## Dataset Files |
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- `nsg_dataset.csv` - Contains the main dataset with 500 records. |
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- `README.md` - Documentation for understanding and using the dataset. |
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## Data Schema |
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| Column Name | Data Type | Description | |
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|-----------------|----------|-------------| |
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| `timestamp` | `string` (YYYY-MM-DD HH:MM:SS) | Date and time of the network event | |
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| `source_ip` | `string` (IPv4) | IP address of the source device | |
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| `destination_ip` | `string` (IPv4) | IP address of the target device | |
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| `protocol` | `string` | Network protocol (TCP, UDP, ICMP) | |
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| `port` | `integer` | Destination port (20 - 65535) | |
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| `action` | `string` | Whether the traffic was **Allowed** or **Denied** | |
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| `threat_level` | `string` | Severity of the security event (**Low, Medium, High, Critical**) | |
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| `threat_type` | `string` | Type of attack (**DDoS, Brute Force, SQL Injection, Port Scan, Malware**) | |
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| `response_action`| `string` | Action taken (**Blocked, Alerted, Monitored, Escalated**) | |
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## Dataset Statistics |
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- **Total Records:** 500 |
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- **Unique Source IPs:** ~400+ |
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- **Threat Level Distribution:** |
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- Low (~25%) |
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- Medium (~30%) |
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- High (~25%) |
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- Critical (~20%) |
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## Use Cases |
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- **Anomaly Detection:** Identify unusual traffic patterns. |
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- **Threat Intelligence:** Analyze network security trends. |
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- **Machine Learning Models:** Train AI models for cyber threat prediction. |
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- **Power BI Dashboards:** Visualize security logs for real-time monitoring. |
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## How to Use the Dataset |
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### **Python (Pandas) Example** |
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```python |
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import pandas as pd |
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df = pd.read_csv("nsg_dataset.csv") |
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print(df.head()) # Preview first 5 records |
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