andypitcher / IoT_SentinelLinks
IoT SENTINEL : Automated Device-Type Identification for Security Enforcement in IoT with Machine Learning
☆43Updated 6 years ago
Alternatives and similar repositories for IoT_Sentinel
Users that are interested in IoT_Sentinel are comparing it to the libraries listed below
Sorting:
- A Behaviour-Based Fingerprinting Method for Device Identification in the IoT☆26Updated 2 years ago
- A Behavior-Based Device Identification Method for the IoT☆56Updated 4 months ago
- Implementation of AppScanner☆42Updated 2 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆80Updated 3 years ago
- ☆58Updated 2 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆89Updated last year
- T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in I…☆84Updated 3 years ago
- Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"☆33Updated 6 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- ☆27Updated last year
- Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.☆41Updated 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☆92Updated 2 years ago
- ByteIoT: a Practical IoT Device Identification System based on Packet Length Distribution☆13Updated 3 years ago
- ☆47Updated last year
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆19Updated 4 years ago
- ☆19Updated 4 years ago
- using deep learning to classify the encrypted network traffic☆161Updated 4 years ago
- nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques☆112Updated 3 years ago
- Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis☆128Updated last year
- It is a network traffic classifier based on deep learning.☆46Updated last year
- Code for the AAAI'23 paper "Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Represen…☆99Updated last year
- ☆19Updated 3 years ago
- Traffic dataset USTC-TFC2016☆136Updated 6 years ago
- Traffic analysis for Tor-based malware detection and classification☆39Updated 2 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆35Updated 4 years ago
- Encrypted Network Traffic Classification using Deep Learning☆52Updated last year
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- ☆26Updated 4 years ago
- Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)☆37Updated 11 months ago
- Code and dataset for AppScanner☆28Updated 7 years ago