Skip to content
#

abnormal-detection

Here are 34 public repositories matching this topic...

This project uses statistical analysis to detect fraudulent credit card transactions by examining patterns and anomalies in a dataset of 10,000 transactions, calculating averages, medians, frequencies, and identifying outliers to distinguish between legitimate and fraudulent activities.

  • Updated Aug 6, 2024
  • Jupyter Notebook

NetSniff-Guard is an advanced network security tool that captures live network packets and detects anomalies using machine learning techniques. It analyzes traffic in real-time based on multiple features including packet size, protocol, timing patterns, and flow behavior. The system provides immediate alerts for suspicious activities.

  • Updated Apr 24, 2025
  • Python

Improve this page

Add a description, image, and links to the abnormal-detection topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the abnormal-detection topic, visit your repo's landing page and select "manage topics."

Learn more