nuttysunday / Protocol-Based-Deep-Intrusion-Detection-for-DoS-Normal-and-DDoS-Attacks
Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets
☆21Updated 2 years ago
Alternatives and similar repositories for Protocol-Based-Deep-Intrusion-Detection-for-DoS-Normal-and-DDoS-Attacks:
Users that are interested in Protocol-Based-Deep-Intrusion-Detection-for-DoS-Normal-and-DDoS-Attacks are comparing it to the libraries listed below
- ⼀个有潜⼒的⽹络⼊侵检测算法,引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中,在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆9Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆33Updated 4 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
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆9Updated 2 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 8 months ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 6 months ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 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 6 years ago
- A PyTorch implementation of of Anomal-E.☆33Updated 2 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆20Updated 3 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…☆14Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆45Updated last year
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 9 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆82Updated 2 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆31Updated 4 years ago
- GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd☆17Updated last year
- ☆19Updated 3 years ago
- CICIDS2017 dataset☆67Updated 3 years ago
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆19Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆61Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆86Updated last year
- Generative adversarial networks for Network Intrusion Benchmark datasets☆34Updated 8 months ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 5 years ago
- ☆40Updated 2 years ago