Western-OC2-Lab / Intrusion-Detection-System-Using-CNN-and-Transfer-LearningLinks
Code for intrusion detection system (IDS) development using CNN models and transfer learning
☆181Updated 2 years ago
Alternatives and similar repositories for Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
Users that are interested in Intrusion-Detection-System-Using-CNN-and-Transfer-Learning are comparing it to the libraries listed below
Sorting:
- An Intrusion Detection System based on Deep Belief Networks☆85Updated 2 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆175Updated 3 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆114Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- ☆87Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- ☆45Updated 3 years ago
- CICIDS2017 dataset☆71Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆47Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 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
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆10Updated 2 years ago
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆18Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆46Updated 11 months ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆35Updated 5 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 project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆12Updated 3 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆16Updated last year
- 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
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 11 months ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆13Updated 5 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆26Updated 3 years ago