Network data classifier based on the recurrent neural network.
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Apr 3, 2019 - Python
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cicids
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Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE) for anomaly detection.
real-time
apt
supervised-learning
autoencoder
network-monitoring
unsupervised-learning
intrusion-detection-system
anomaly-detection
explainable-ai
cicids
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Mar 20, 2024 - Python
DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.
deep-learning
ensemble-learning
residual-networks
intrusion-detection-system
cicids
unbalanced-datasets
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May 12, 2021 - Python
Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.
computer-science
deep-neural-networks
deep-learning
network
cnn
cybersecurity
lstm
ids
lstm-model
convolutional-neural-networks
nids
nsl
kddcup
cicids
networksecurity
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May 10, 2023 - Jupyter Notebook
This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After the reults are given, I compared the results of two classical approaches for supervised learning: RandomForest and SVM on a large public combined dataset made from CICIDS2017 dataset and CICIDS2018.
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Jul 14, 2022 - Jupyter Notebook
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