mamerzouk / adversarial_analysisLinks
This repository contains the notebook used for the experiments of the papers: "A Deeper Analysis of Adversarial Examples in Intrusion Detection" presented at the CRISIS Conference 2020, and "Investigating the Practicality of Adversarial Evasion Attacks on Network Intrusion Detection" submitted to the journal Annals of Telecommunication.
☆10Updated 4 years ago
Alternatives and similar repositories for adversarial_analysis
Users that are interested in adversarial_analysis are comparing it to the libraries listed below
Sorting:
- ☆16Updated last year
- ☆21Updated 10 months ago
- ☆11Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆19Updated 2 years ago
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆10Updated 2 years ago
- ☆20Updated 3 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆22Updated 4 years ago
- Network Traffic Classification with Graph Neural Networks☆11Updated 2 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆21Updated 2 years ago
- A project from EECS6414M of Winter 2020 at York University☆11Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆89Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆19Updated 6 months ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆15Updated 3 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆84Updated 3 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆14Updated last year
- Anomaly Detection using PCA and BiGAN☆14Updated 5 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆26Updated last year
- Application of novel EC-GAN method on Network Intrusion Detection☆24Updated 4 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆22Updated 4 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆16Updated 3 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆30Updated 3 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆34Updated 2 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- ☆21Updated 5 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- ☆19Updated 4 years ago