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”.
☆15Updated 5 years ago
Related projects: ⓘ
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆142Updated 5 years ago
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆117Updated last year
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆60Updated 4 years ago
- An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'☆46Updated 4 years ago
- Anomaly detection for streaming data using autoencoders☆186Updated 2 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆67Updated last year
- Reinforcement Learning for Anomaly Detection☆43Updated 6 years ago
- ☆26Updated 6 years ago
- ☆141Updated 3 years ago
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆70Updated 5 years ago
- Anomaly detection for temporal data using LSTMs☆224Updated 2 years ago
- An LSTM Autoencoder for rare event classification☆108Updated 4 years ago
- DAGMM Tensorflow implementation☆169Updated last year
- A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…☆120Updated 7 years ago
- Understanding an LSTM Autoencoder☆36Updated 5 years ago
- Example code for neural-network-based anomaly detection of time-series data (uses LSTM)☆173Updated 7 years ago
- MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow☆118Updated 5 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆184Updated 4 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆23Updated 6 years ago
- Hybrid Isolation Forest☆24Updated 6 years ago
- Concise, modular implementation of Multi-Scale Convolutional Recurrent Encoder Decoder: https://arxiv.org/abs/1811.08055☆29Updated 2 years ago
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆152Updated last year
- Anomaly detection on time series using Deep Learning techniques☆27Updated 4 years ago
- Anomaly detection implemented in Keras☆374Updated 6 years ago
- Implementation of paper:A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆23Updated 4 years ago
- Repository for transfer learning for anomaly detection.☆15Updated 4 years ago
- GAAL-based Outlier Detection☆131Updated last year
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆43Updated 5 years ago
- detect malicious URL and Request (Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、CNN + Bi-LSTM + CNN)☆58Updated 5 years ago
- Multidimensional Time Series Anomaly Detection☆27Updated 6 years ago