GitHub / InflixOP / Anomaly-detection-using-Explainable-AI
This project integrates Explainable AI (XAI) techniques for anomaly detection in encrypted network traffic using ML Algorithms. We employ SHAP (SHapley Additive Explanations) to interpret model decisions and enhance transparency in detecting malicious activities. The system is designed to identify suspicious patterns in encrypted traffic.
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PURL: pkg:github/InflixOP/Anomaly-detection-using-Explainable-AI
Stars: 7
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 91.5 MB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: about 1 month ago
Pushed at: 3 months ago
Last synced at: about 1 month ago
Topics: anomaly-detection, course-project, encrypted-traffic, explainable-ai