intrudetection / robevalanodetect
☆10Updated last year
Alternatives and similar repositories for robevalanodetect:
Users that are interested in robevalanodetect are comparing it to the libraries listed below
- ☆19Updated 2 months ago
- A PyTorch implementation of of Anomal-E.☆33Updated 2 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- NEGSC☆36Updated 10 months ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆34Updated 7 months ago
- ☆71Updated 4 years ago
- Official repository for the paper "Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Ne…☆11Updated 7 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)☆9Updated 2 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆12Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆82Updated 2 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 6 months ago
- ☆40Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆33Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 6 months ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 2 years ago
- A PyTorch implementation of of E-GraphSAGE.☆85Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆45Updated 4 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆14Updated 3 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆14Updated last week
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆31Updated last year
- 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…☆43Updated 2 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆17Updated last year
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆108Updated 2 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System☆11Updated last year
- 基于动态图神经网络的异常流量检测方法☆41Updated last year