husseinalygit / N-BaIoT-reloaded
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
Related projects ⓘ
Alternatives and complementary repositories for N-BaIoT-reloaded
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆20Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆56Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆30Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- FL-based intrusion detection system development using model averaging.☆31Updated last year
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆25Updated 4 years ago
- Adaptive Federated Learning Approach to DDoS attack detection☆39Updated 6 months ago
- ☆10Updated 5 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆73Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆42Updated last year
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆23Updated last year
- ☆9Updated last year
- ☆35Updated 2 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆34Updated 6 months ago
- Intrusion detection system using CNN and RNN☆22Updated 5 years ago
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆15Updated 2 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆40Updated 2 months ago
- ☆10Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆20Updated 2 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…☆37Updated 5 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆20Updated last year
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆10Updated 6 months ago
- The project aims to analyse different types of attacks using the Bot-IoT dataset and also apply & compare different classification algori…☆11Updated 3 years ago
- CICIDS2017 dataset☆55Updated 2 years ago