gcamfer / Anomaly-ReactionRL
Using RL for anomaly detection in NSL-KDD
☆116Updated last year
Alternatives and similar repositories for Anomaly-ReactionRL:
Users that are interested in Anomaly-ReactionRL are comparing it to the libraries listed below
- Reinforcement Learning for Anomaly Detection☆42Updated 6 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆44Updated last year
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆53Updated 5 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.…☆38Updated 6 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…☆39Updated 5 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆24Updated 4 years ago
- Here we try to detect the attack at it's first attempt using machine learning algorithms(Reinforcement l)☆11Updated 4 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆120Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- Basic Machine learning projects and assignments done by me.☆31Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- CICIDS2017 dataset☆60Updated 3 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 5 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆84Updated last year
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆44Updated 4 years ago
- Paper Implementation☆25Updated 7 months ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 3 years ago
- Using NSL_KDD data☆26Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 4 months ago
- ☆21Updated 4 years ago
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆22Updated last year
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆31Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆37Updated 7 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
- A GAN-based model focused on anomaly detection in discrete dataset☆24Updated 5 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆29Updated 4 years ago