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Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities
Created
2019-05-11
84 commits to master branch, last one 7 months ago
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Created
2021-04-12
25 commits to master branch, last one 3 years ago
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in ...
iot
svm
drift
nsl-kdd
xgboost
lightgbm
data-stream
concept-drift
random-forest
change-detector
drift-detection
online-learning
machine-learning
anomaly-detection
iot-data-analytics
real-time-analytics
bayesian-optimization
intrusion-detection-system
hyperparameter-optimization
particle-swarm-optimization
Created
2021-04-02
38 commits to main branch, last one 11 months ago
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Created
2022-09-06
18 commits to master branch, last one about a year ago