Mateusz-Peplinski/AAPADS
Advanced Access Point Anomaly Detection System
This system helps security professionals and network administrators proactively protect wireless networks from cyberattacks and data interception. It continuously monitors the electromagnetic wave transmissions around your wireless access points, identifies unusual activity, and alerts you to potential security threats. You'll get real-time notifications about anomalies and insights into your wireless environment's security posture.
No commits in the last 6 months.
Use this if you need to detect wireless cyberattacks and security misconfigurations on your Wi-Fi network.
Not ideal if you are looking for a general network monitoring tool for wired connections or an intrusion detection system for application-layer attacks.
Stars
17
Forks
3
Language
C#
License
—
Category
Last pushed
Mar 07, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Mateusz-Peplinski/AAPADS"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
elki-project/elki
ELKI Data Mining Toolkit
raphaelvallat/antropy
AntroPy: entropy and complexity of (EEG) time-series in Python
Minqi824/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.