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
- This program allow you to extract some features from pcap files.☆38Updated last year
- IoT SENTINEL : Automated Device-Type Identification for Security Enforcement in IoT☆43Updated 6 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆43Updated 6 years ago
- A Behavior-Based Device Identification Method for the IoT☆52Updated 9 months ago
- Machine-learning-based intrusion detection☆35Updated 6 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.…☆39Updated 6 years ago
- ☆57Updated 2 years ago
- ☆44Updated 3 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Replication files for arXiv:1805.03735 Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic☆11Updated 6 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆44Updated 4 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆71Updated 3 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☆84Updated 2 years ago
- Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.☆37Updated 4 years ago
- A Behaviour-Based Fingerprinting Method for Device Identification in the IoT☆22Updated 2 years ago
- Data and code for TMA 2021 paper "Revisiting IoT Device Identification"☆7Updated 2 years ago
- Attention Model for Network Intrusion Detection☆17Updated 5 years ago
- Network Traffic Identification with Convolutional Neural Networks☆23Updated 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☆25Updated 4 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 4 years ago
- Encrypted Traffic Classification using Deep Learning☆46Updated 6 years ago
- ☆22Updated 3 years ago
- ☆26Updated last year
- The project is to detect malware traffic in TLS flows using ML☆35Updated 4 years ago
- This is a paper list about Machine Learning for IDSes☆88Updated 5 months ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆44Updated 8 months ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆29Updated 4 years ago
- CICIDS2017 dataset☆64Updated 3 years ago
- ☆28Updated 6 years ago
- ☆16Updated 4 years ago