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”.
☆17Updated 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☆197Updated 3 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆123Updated 4 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- ☆143Updated 4 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆40Updated 6 years ago
- Using NSL_KDD data☆27Updated 6 years ago
- This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets☆55Updated 5 years ago
- Reinforcement Learning for Anomaly Detection☆44Updated 7 years ago
- Basic Machine learning projects and assignments done by me.☆31Updated 4 years ago
- Anomaly detection for temporal data using LSTMs☆225Updated 3 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆37Updated 8 years ago
- ☆24Updated 5 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆206Updated 4 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆43Updated 5 years ago
- NSL-KDD Dataset☆185Updated 9 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
- [ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection☆165Updated 2 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- An attempt to implement 'DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series'☆49Updated 4 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- Anomaly detection implemented in Keras☆376Updated 7 years ago
- MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow☆123Updated 6 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆63Updated 5 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 4 years ago
- DAGMM Tensorflow implementation☆178Updated last year
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆148Updated 6 years ago