shreyagopal / LSTM-Autoencoder-for-Network-Anomaly-Detection
Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.
☆14Updated 4 years ago
Alternatives and similar repositories for LSTM-Autoencoder-for-Network-Anomaly-Detection
Users that are interested in LSTM-Autoencoder-for-Network-Anomaly-Detection are comparing it to the libraries listed below
Sorting:
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆18Updated 2 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆33Updated 6 years ago
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆44Updated 2 years ago
- Intrusion Detection System (Classifier) Using CIC IDS 2017 Datasets☆13Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆44Updated 4 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
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆34Updated 4 years ago
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆10Updated 2 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- This project aims to detect the anomalies in Web-Traffic using a C-LSTM architecture.☆24Updated 4 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 9 months ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 6 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆11Updated 10 months ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆13Updated 2 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- Replication of Jay Sinha's Efficient Deep CNN-BiLSTM model for network intrusion detection using NSL-KDD and UNSW-NB15 datasets to unders…☆11Updated 8 months ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 9 months 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
- ☆11Updated last year
- ☆41Updated 2 years ago
- IoT intrusion Detection Model based on neural network and random forests☆45Updated 6 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
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 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…☆23Updated last year
- 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