Attention Model for Network Intrusion Detection
☆19Jul 24, 2019Updated 7 years ago
Alternatives and similar repositories for ANID
Users that are interested in ANID are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Application of novel EC-GAN method on Network Intrusion Detection☆25Dec 24, 2021Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆48Jun 13, 2024Updated 2 years ago
- NSL-KDD (for network-based intrusion detection systems (IDS)) is a dataset suggested to solve some of the inherent problems of the parent…☆12Feb 11, 2022Updated 4 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Dec 30, 2019Updated 6 years ago
- Deep Learning techniques can be implemented in the field of cybersecurity to handle the issues related to intrusion just as they have bee…☆23Jan 11, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆14Feb 15, 2024Updated 2 years ago
- This repository contains the notebook used for the experiments of the papers: "A Deeper Analysis of Adversarial Examples in Intrusion Det…☆10Dec 8, 2021Updated 4 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Nov 14, 2018Updated 7 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆149Oct 12, 2021Updated 4 years ago
- An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Jul 16, 2018Updated 8 years ago
- ☆15Mar 24, 2023Updated 3 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆38Mar 3, 2023Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Jul 15, 2023Updated 3 years ago
- ☆43Dec 26, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Jan 19, 2020Updated 6 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 5 years ago
- IoT intrusion Detection Model based on neural network and random forests☆50Oct 16, 2018Updated 7 years ago
- Pre-processing NSL-KDD dataset using Data mining techniques. Algorithm written in python to detect the attacks in NSL KDD dataset.☆27Jan 6, 2020Updated 6 years ago
- ☆54Nov 11, 2021Updated 4 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆29Sep 10, 2024Updated last year
- DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.☆11May 12, 2021Updated 5 years ago
- source code for USENIX Security paper xNIDS☆61Aug 27, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆22Dec 14, 2023Updated 2 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆22Aug 24, 2021Updated 4 years ago
- ☆21Apr 8, 2026Updated 4 months ago
- Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection☆11Jan 23, 2023Updated 3 years ago
- ☆23May 15, 2019Updated 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…☆297Dec 22, 2023Updated 2 years ago
- ☆14May 23, 2025Updated last year
- Network Intrusion Detection System using Deep Learning Techniques☆178Dec 15, 2019Updated 6 years ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆773May 8, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- tensorflow 2.0 implementation of CycleGAN, easy to use.☆18Dec 11, 2019Updated 6 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆21Oct 16, 2021Updated 4 years ago
- ☆48Aug 7, 2022Updated 4 years ago
- Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately networ…☆104Jun 10, 2020Updated 6 years ago
- The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and b…☆11Aug 10, 2019Updated 7 years ago
- IDS Alert Prioritization INSuRE Research Project☆19Jun 16, 2019Updated 7 years ago
- Using the 1998 DARPA Intrusion Detection Evaluation dataset I configured a Random Forest model for anomaly detection☆14Feb 15, 2019Updated 7 years ago