robsss / Iot-Cyber-Security-with-Machine-LearningLinks
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…
☆27Updated 2 years ago
Alternatives and similar repositories for Iot-Cyber-Security-with-Machine-Learning
Users that are interested in Iot-Cyber-Security-with-Machine-Learning are comparing it to the libraries listed below
Sorting:
- The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1…☆26Updated 3 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆24Updated 4 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆175Updated 3 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆86Updated 4 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆135Updated 3 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆99Updated 6 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆103Updated 7 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆178Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆84Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆64Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆16Updated last year
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆89Updated 5 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆43Updated last year
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆281Updated last year
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆13Updated 5 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆226Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showca…☆73Updated last year
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆208Updated last year
- Machine Learning in Cybersecurity☆83Updated 2 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- IoT intrusion Detection Model based on neural network and random forests☆46Updated 6 years ago
- A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning☆46Updated 3 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆157Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago