Mosseridan / IoT-device-type-identification
IoT device type identification using machine learning techniques.
☆38Updated 6 years ago
Alternatives and similar repositories for IoT-device-type-identification:
Users that are interested in IoT-device-type-identification are comparing it to the libraries listed below
- IoT SENTINEL : Automated Device-Type Identification for Security Enforcement in IoT☆44Updated 6 years ago
- This program allow you to extract some features from pcap files.☆38Updated 2 years ago
- A Behaviour-Based Fingerprinting Method for Device Identification in the IoT☆23Updated 2 years ago
- This is a paper list about Machine Learning for IDSes☆90Updated 7 months ago
- Machine-learning-based intrusion detection☆37Updated 6 years ago
- 基于IDS 2018数据集使用LightGBM和XGBoost实现DDoS流量分类 sFlow RT&Mininet流量采集与分类 杭电综合项目实践☆28Updated 4 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.…☆40Updated 6 years ago
- The project is to detect malware traffic in TLS flows using ML☆35Updated 5 years ago
- Data and code for TMA 2021 paper "Revisiting IoT Device Identification"☆7Updated 2 years ago
- Smart-home network traffic ioT dataset☆18Updated 4 years ago
- Encrypted Traffic Classification using Deep Learning☆46Updated 6 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆71Updated 3 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆43Updated 6 years ago
- ByteIoT: a Practical IoT Device Identification System based on Packet Length Distribution☆12Updated 2 years ago
- ☆58Updated 2 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 5 years ago
- Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.☆40Updated 4 years ago
- A Behavior-Based Device Identification Method for the IoT☆54Updated 2 months ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆36Updated 9 months ago
- ☆70Updated 2 years ago
- cool project☆19Updated 4 years ago
- 多进程读取pcap,基于五元组分流并提取流量特征。结果输出为csv文件,用于机器学习中对加密流量进行分类☆89Updated 2 years ago
- ☆46Updated 3 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆120Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 10 months ago
- Network Traffic Identification with Convolutional Neural Networks☆24Updated 6 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
- ☆22Updated 3 years ago
- ☆17Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆32Updated 4 years ago