Western-OC2-Lab / AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
☆27Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security
- This repository includes code for the paper "Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion D…☆14Updated 2 weeks ago
- Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the p…☆31Updated last year
- Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library…☆204Updated last year
- Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGB…☆422Updated last year
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆142Updated last year
- Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning☆624Updated 6 months ago
- An Intrusion Detection System based on Deep Belief Networks☆73Updated 2 years ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆16Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆42Updated last year
- ☆19Updated last year
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆20Updated 2 months ago
- An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detecti…☆49Updated 10 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆15Updated last year
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆12Updated last year
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆56Updated 4 years ago
- Adaptive Federated Learning Approach to DDoS attack detection☆39Updated 7 months ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆10Updated last year
- Deep learning models for network intrusion detection☆33Updated last year
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆20Updated last year
- Intrusion Detection System using Machine Learning and Deep Learning☆82Updated 10 months ago
- ☆18Updated last month
- IoT Attack Detection with machine learning☆19Updated 5 months ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- ☆11Updated 2 years ago
- ☆35Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆12Updated 2 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆41Updated 5 months ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆25Updated 4 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