PoCInnovation / SharkticonLinks
Sharkticon is an anomaly detection system, it analyzes your network using a Transformers model adapted to the anomaly detection.
☆23Updated 2 years ago
Alternatives and similar repositories for Sharkticon
Users that are interested in Sharkticon are comparing it to the libraries listed below
Sorting:
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Updated 2 years ago
- Attention Model for Network Intrusion Detection☆18Updated 6 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆34Updated 2 years ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆47Updated last year
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆26Updated last year
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- Detection of network traffic anomalies using unsupervised machine learning☆27Updated 3 years ago
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆11Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion …☆22Updated 2 years ago
- CICIDS2017 dataset☆69Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- A research project of anomaly detection on dataset IoT-23☆105Updated last year
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆24Updated 4 years ago
- ☆32Updated 2 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 7 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆51Updated last year
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- ☆23Updated 5 years ago
- ☆48Updated 3 years ago
- ☆94Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆39Updated 5 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆21Updated 4 years ago
- Machine Learning in Cybersecurity☆89Updated 7 months ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- An automatic packet crafting tool for evading learning-based NIDS☆84Updated 3 years ago