IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they contain. In response, network intrusion detection systems have been developed to detect suspicious network activity. UNSW-NB15 is an IoT-based network traffic data set with different categories for normal activitie…
☆80Apr 3, 2021Updated 5 years ago
Alternatives and similar repositories for Iot-Cyber-Security-with-Machine-Learning-Research-Project
Users that are interested in Iot-Cyber-Security-with-Machine-Learning-Research-Project are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆60Apr 30, 2021Updated 5 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Oct 30, 2018Updated 7 years ago
- The project aims to analyse different types of attacks using the Bot-IoT dataset and also apply & compare different classification algori…☆13Oct 19, 2021Updated 4 years ago
- IoT intrusion Detection Model based on neural network and random forests☆50Oct 16, 2018Updated 7 years ago
- The growing network connectivity witnessed in Supervisory Control and Data Acquisition (SCADA) systems raises cyber security concerns for…☆19Jan 19, 2018Updated 8 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.
- An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Jul 16, 2018Updated 7 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
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆27Jul 29, 2021Updated 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…☆17Jul 20, 2022Updated 3 years ago
- ☆12May 1, 2021Updated 5 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆205Sep 8, 2021Updated 4 years ago
- Attention Model for Network Intrusion Detection☆19Jul 24, 2019Updated 6 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆23May 13, 2022Updated 4 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
- 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.
- Botnet detection on IoT Devices☆30Mar 7, 2021Updated 5 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆74Mar 25, 2023Updated 3 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
- Deep learning intrusion detection system trained on the UNSW-NB15 dataset for IIoT networks.☆14Jul 10, 2024Updated last year
- A machine learning based Intrusion Detection System☆174Dec 11, 2019Updated 6 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆15Dec 11, 2022Updated 3 years ago
- Pose Detection using Machine Learning☆16Nov 22, 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
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆145Jan 5, 2019Updated 7 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.
- Machine Learning for Cyber Security☆50Dec 25, 2019Updated 6 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆92Sep 19, 2020Updated 5 years ago
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆391Mar 24, 2026Updated 3 months ago
- Comparing Anomaly-Based Network Intrusion Detection Approaches Under Practical Aspects☆11Mar 25, 2023Updated 3 years ago
- This is an Ai based Yoga Pose Detection System☆10Jul 5, 2022Updated 3 years ago
- ☆43Dec 26, 2020Updated 5 years ago
- A Deep Learning approach toward creating a NIDS using python☆25Aug 8, 2023Updated 2 years ago
- IoT SENTINEL : Automated Device-Type Identification for Security Enforcement in IoT with Machine Learning☆49Updated this week
- Creating a NIDS based on a Deep Neural Network (CNN)☆11Dec 31, 2018Updated 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.
- the open source way to do the excercises to be a Full-Stack Cybersecurity Engineer. added with the recent paper in the field of Machine …☆50Nov 2, 2021Updated 4 years ago
- Bot Detection by Building Markov Chain Models of Bots Network Behavior☆16Feb 6, 2021Updated 5 years ago
- Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15☆772May 8, 2019Updated 7 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆31Feb 20, 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
- Fitness application for yoga and workout (on Mediapipe and OpenCV)☆11Dec 21, 2021Updated 4 years ago
- The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1…☆29Apr 3, 2022Updated 4 years ago