harshilpatel1799 / Iot-Cyber-Security-with-Machine-Learning-Research-ProjectLinks
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…
☆73Updated 4 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
Sorting:
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Updated 8 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 7 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆145Updated 4 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆99Updated 6 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆234Updated 3 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆214Updated last year
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆290Updated last year
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆184Updated 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…☆26Updated 3 years ago
- Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for …☆93Updated 6 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆90Updated 5 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆105Updated 5 years ago
- Machine Learning with the NSL-KDD dataset for Network Intrusion Detection☆270Updated 5 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆19Updated 4 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆25Updated 4 years ago
- A machine learning based Intrusion Detection System☆156Updated 6 years ago
- Network Intrusion Detection System☆48Updated 2 years ago
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆104Updated 3 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆49Updated 3 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Updated 3 years ago
- Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …☆50Updated 6 years ago
- A project using Django, sklearn and pandas to detect anomalies in network traffic using machine learning☆46Updated 3 years ago
- Machine Learning in Cybersecurity☆88Updated 6 months ago
- A research project of anomaly detection on dataset IoT-23☆105Updated last year
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆45Updated 6 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆168Updated 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…☆72Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆65Updated 5 years ago
- VGG-19 deep learning model trained using ISCX 2012 IDS Dataset☆142Updated 6 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 4 years ago