harshilpatel1799 / Iot-Cyber-Security-with-Machine-Learning-Research-Project
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…
☆67Updated 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
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Updated 6 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆169Updated 3 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆22Updated 3 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Updated 7 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆25Updated 2 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆46Updated 2 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆82Updated 4 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 …☆49Updated 5 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…☆25Updated 3 years ago
- Machine Learning and Deep Learning models for Anomaly Detection☆9Updated 6 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆97Updated 5 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆132Updated 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 …☆88Updated 5 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆15Updated last year
- IoT intrusion Detection Model based on neural network and random forests☆45Updated 6 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆20Updated 4 years ago
- A research project of anomaly detection on dataset IoT-23☆97Updated 7 months ago
- The project aims to analyse different types of attacks using the Bot-IoT dataset and also apply & compare different classification algori…☆12Updated 3 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN w…☆41Updated last year
- harshilpatel1799 / IoT-Network-Intrusion-Detection-and-Classification-using-Explainable-XAI-Machine-LearningThe continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆50Updated 3 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…☆43Updated 5 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆204Updated 11 months ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆37Updated 7 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆104Updated 5 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…☆24Updated 4 years ago
- DDoS attack analysis using Machine Learning☆41Updated 4 years ago
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆98Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year