dreizehnutters / pcapAELinks
convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.
☆17Updated last year
Alternatives and similar repositories for pcapAE
Users that are interested in pcapAE are comparing it to the libraries listed below
Sorting:
- ☆21Updated 4 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- Application of novel EC-GAN method on Network Intrusion Detection☆21Updated 3 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆49Updated 6 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- Anomaly Detection using PCA and BiGAN☆13Updated 4 years ago
- NEGSC☆37Updated last year
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆35Updated 11 months ago
- ☆20Updated 5 months ago
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆13Updated 4 years ago
- ☆13Updated last year
- ☆11Updated last year
- A PyTorch implementation of of Anomal-E.☆34Updated 2 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆17Updated 3 weeks ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆16Updated last year
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Updated 5 years ago
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆14Updated 3 years ago
- ☆73Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 11 months ago
- Pysharkfeat is a TLS encrypted traffic feature extraction tool from pcaps written in Python by using Wireshark's command line tshark.☆12Updated 3 years ago
- A PyTorch implementation of of E-GraphSAGE.☆88Updated 3 years ago