nuttysunday / Protocol-Based-Deep-Intrusion-Detection-for-DoS-Normal-and-DDoS-AttacksLinks
Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets
☆21Updated 3 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
Sorting:
- 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…☆10Updated last year
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆11Updated 10 months ago
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆10Updated 2 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
- Deep learning models for network intrusion detection☆36Updated 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☆44Updated 8 months ago
- A PyTorch implementation of of Anomal-E.☆35Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- ☆48Updated 3 years ago
- IoT Attack Detection with machine learning☆27Updated 11 months ago
- harshilpatel1799 / IoT-Network-Intrusion-Detection-and-Classification-using-Explainable-XAI-Machine-LearningThe continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆50Updated 4 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆13Updated 3 months ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- 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.☆70Updated 4 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- CICIDS2017 dataset☆69Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- ☆41Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- ☆9Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- ☆25Updated last year
- ☆19Updated 3 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 4 years ago