MosabHamdan12 / nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-CitiesView on GitHub
This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted for IoT-smart city networks, the upper layer network uses a gradient boosting classifier while the lower layer network employs deep learning (DL) based on the combination of a long-short-term memory and a convol…
☆15Dec 11, 2022Updated 3 years ago
Alternatives and similar repositories for nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-Cities
Users that are interested in nomaly-based-Intrusion-Detection-Technique-for-IoT-Enabled-Smart-Cities are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Jun 25, 2022Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆49May 17, 2020Updated 6 years ago
- IoT intrusion Detection Model based on neural network and random forests☆50Oct 16, 2018Updated 7 years ago
- The official codes for the paper Supervised Anomaly Detection via a Class-Balanced Generative Adversarial Network☆10Sep 7, 2023Updated 2 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
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆77Oct 20, 2020Updated 5 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆125Oct 25, 2022Updated 3 years ago
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆17Aug 27, 2022Updated 3 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆19Dec 13, 2020Updated 5 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆149Oct 12, 2021Updated 4 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆206Sep 8, 2021Updated 4 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
- Modern and future vehicles are complex cyber-physical sys-tems. The connection to their outside environment raises many securityproblems …☆19Mar 11, 2021Updated 5 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…☆47Jun 3, 2019Updated 7 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.
- Machine Learning Algorithms on NSL-KDD dataset☆98May 30, 2019Updated 7 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆40Sep 27, 2018Updated 7 years ago
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Jan 19, 2020Updated 6 years ago
- This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB ima…☆12Nov 27, 2021Updated 4 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆27Apr 9, 2021Updated 5 years ago
- Application of novel EC-GAN method on Network Intrusion Detection☆25Dec 24, 2021Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- One critical issue within network security refers to intrusion detection. The nature of intrusion attempts appears to be nonlinear, where…☆10Sep 29, 2022Updated 3 years ago
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆27Apr 30, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23May 13, 2022Updated 4 years ago
- A SDN project to implement moving target defense☆11Nov 21, 2014Updated 11 years ago
- A generative deep learning model based on GAN architecture was implemented to generate synthetic network data (benign and malicious) alik…☆11Oct 23, 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
- Network Intrusion Detection System using Deep Learning Techniques☆177Dec 15, 2019Updated 6 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆52Mar 12, 2026Updated 4 months ago
- An Intrusion Detection System based on Deep Belief Networks☆93Oct 27, 2022Updated 3 years ago
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆11Jul 11, 2023Updated 3 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Mar 18, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆44Aug 15, 2023Updated 2 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆89Jan 24, 2018Updated 8 years ago
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆18Feb 16, 2024Updated 2 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Jul 4, 2020Updated 6 years ago
- ☆11Dec 16, 2021Updated 4 years ago
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Te…☆17Nov 24, 2022Updated 3 years ago
- Official source code of the paper: Perturbation Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Sce…☆14Jan 6, 2022Updated 4 years ago