sergts / botnet-traffic-analysis
☆10Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for botnet-traffic-analysis
- This is a code reproduction for the paper titled "N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders"☆10Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- A PyTorch implementation of of Anomal-E.☆30Updated last year
- ☆42Updated 3 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆56Updated 4 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆25Updated 4 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆28Updated last year
- using 2d-cnn to classify network traffic☆20Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- ☆17Updated 2 years ago
- ☆19Updated last year
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆20Updated 2 years ago
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆19Updated 4 years ago
- Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)☆38Updated 4 months 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☆32Updated 6 years ago
- A research project of anomaly detection on dataset IoT-23☆88Updated 2 months ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆40Updated 2 months ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆12Updated 2 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆74Updated 2 years ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated 7 months ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 3 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.…☆39Updated 6 years ago
- The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.☆64Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆22Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆42Updated last year