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…
☆66Updated 3 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
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆43Updated 2 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆101Updated 7 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☆77Updated 4 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
- 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
- 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
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆156Updated 3 years ago
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆20Updated 3 years ago
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆20Updated 4 years ago
- IoT intrusion Detection Model based on neural network and random forests☆44Updated 6 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…☆23Updated 4 years ago
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach☆125Updated 3 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 and Deep Learning models for Anomaly Detection☆9Updated 5 years 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
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆40Updated 5 years ago
- ☆31Updated 3 years ago
- Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web …☆14Updated 9 months ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆101Updated 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…☆24Updated 2 years ago
- A thesis submitted for the degree of Master of Science in Computer Networks and Security☆207Updated 2 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆15Updated last year
- Intrusion Detection System using Machine Learning and Deep Learning☆85Updated last year
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 4 years ago
- IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including pe…☆93Updated 2 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.…☆38Updated 6 years ago
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆19Updated 3 years ago
- DDoS attack analysis using Machine Learning☆39Updated 4 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 3 years ago