rkmalaiya / network_anomaly_detection_deep_learning
This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.
☆16Updated 6 years ago
Alternatives and similar repositories for network_anomaly_detection_deep_learning:
Users that are interested in network_anomaly_detection_deep_learning are comparing it to the libraries listed below
- Anomaly detection for streaming data using autoencoders☆192Updated 2 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆66Updated last year
- ☆142Updated 4 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆197Updated 4 years ago
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆71Updated 5 years ago
- Anomaly detection for temporal data using LSTMs☆223Updated 3 years ago
- Example code for neural-network-based anomaly detection of time-series data (uses LSTM)☆176Updated 7 years ago
- An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'☆49Updated 4 years ago
- MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow☆120Updated 5 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆147Updated 6 years ago
- Reinforcement Learning for Anomaly Detection☆43Updated 6 years ago
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆123Updated 2 years ago
- GAAL-based Outlier Detection☆131Updated 2 years ago
- IForestASD for Anomaly Detection in Scikit-MultiFLow☆26Updated 4 years ago
- DAGMM Tensorflow implementation☆172Updated last year
- Understanding an LSTM Autoencoder☆37Updated 5 years ago
- Adversarial Attacks on Deep Neural Networks for Time Series Classification☆76Updated 4 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆47Updated 5 years ago
- A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…☆121Updated 7 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 6 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆62Updated 5 years ago
- ☆26Updated 6 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆24Updated 5 years ago
- Repository for the paper titled "Attention-based Bi-LSTM for Anomaly Detection on Time-Series Data"☆21Updated 3 years ago
- Lstm variational auto-encoder for time series anomaly detection and features extraction☆318Updated 4 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆19Updated 5 years ago
- Anomaly detection implemented in Keras☆374Updated 6 years ago
- Deep Learning for Anomaly Deteection☆60Updated 2 years ago
- ☆71Updated 4 years ago
- This paper is continuously updated with deep anomaly detection methods and their applications☆104Updated 6 years ago