husseinalygit / N-BaIoT-reloadedLinks
This is a code reproduction for the paper titled "N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders"
☆10Updated 4 years ago
Alternatives and similar repositories for N-BaIoT-reloaded
Users that are interested in N-BaIoT-reloaded are comparing it to the libraries listed below
Sorting:
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆87Updated 2 years ago
- Adaptive Federated Learning Approach to DDoS attack detection☆50Updated 10 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 5 years ago
- ☆47Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆47Updated 2 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆64Updated 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 2 years ago
- FL-based intrusion detection system development using model averaging.☆40Updated 2 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆176Updated 4 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆30Updated 2 years ago
- ☆21Updated 11 months ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆47Updated last year
- ☆12Updated 6 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆45Updated 6 years ago
- A research project of anomaly detection on dataset IoT-23☆100Updated last year
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆115Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆187Updated 2 years ago
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆12Updated 3 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆37Updated 4 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta …☆19Updated last year
- 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