matthew-64 / Hydra2_Adversarial_NIDSLinks
As society and technology develop, more and more of our time is spent online, from shopping to socialising, working to banking. Ensuring our safety from malicious actors trying to capitalise on this digitisation is becoming ever more important. One such system that was developed to defend against attacks is a Network Intrusion Detection System (…
☆13Updated 3 years ago
Alternatives and similar repositories for Hydra2_Adversarial_NIDS
Users that are interested in Hydra2_Adversarial_NIDS are comparing it to the libraries listed below
Sorting:
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 5 years ago
- Deep learning models for network intrusion detection☆40Updated 2 years ago
- Machine Learning in Cybersecurity☆86Updated 4 months ago
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆26Updated 5 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆176Updated 4 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆114Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 5 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆88Updated 5 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆37Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆47Updated last year
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆163Updated 5 years ago
- ☆46Updated 3 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆89Updated 7 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆286Updated last year
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 years ago
- A Deep Learning approach toward creating a NIDS using python☆25Updated 2 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
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆230Updated 2 years ago
- ☆89Updated last year
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆16Updated 2 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆29Updated 6 years ago