shahanHasan / Intrusion-Detection-System-Adversarial-Attacks-Links
Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { learning rate, epochs, network architectures, regularisation } | Adversarial Attacks - Label flip , Adversarial samples , KNN (defence)
☆23Updated 3 years ago
Alternatives and similar repositories for Intrusion-Detection-System-Adversarial-Attacks-
Users that are interested in Intrusion-Detection-System-Adversarial-Attacks- are comparing it to the libraries listed below
Sorting:
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆46Updated 11 months ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆38Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 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
- ☆24Updated 6 years ago
- Attention Model for Network Intrusion Detection☆18Updated 6 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆22Updated 3 years ago
- An Intrusion Detection System based on Deep Belief Networks☆85Updated 2 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
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆175Updated 3 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆23Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆14Updated 3 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆35Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- ☆45Updated 3 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- Towards an Explainable Artificial Intelligence Framework for Enhancing Explainability in Network Intrusion Detection Systems☆19Updated 8 months ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆138Updated 3 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
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆47Updated last year
- ☆11Updated 3 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆100Updated 6 years ago
- ☆20Updated 7 months ago