munirKarsli / Network-Intrusion-Detection-With-Deep-Learning-On-Nsl-Kdd-Dataset
☆22Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Network-Intrusion-Detection-With-Deep-Learning-On-Nsl-Kdd-Dataset
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆23Updated 4 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆30Updated 4 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆38Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆41Updated 5 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
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆17Updated 3 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆29Updated 6 years ago
- Using NSL_KDD data☆25Updated 5 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- IoT intrusion Detection Model based on neural network and random forests☆43Updated 6 years ago
- Intrusion detection system using CNN and RNN☆22Updated 5 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆17Updated 4 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆16Updated 3 years ago
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆21Updated 4 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 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☆32Updated 6 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
- An Intrusion Detection System based on Deep Belief Networks☆73Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆42Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆41Updated 2 months ago
- A Deep Learning approach toward creating a NIDS using python☆23Updated last year
- ☆35Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆28Updated 4 years ago