andypitcher / IoT_SentinelLinks
IoT SENTINEL : Automated Device-Type Identification for Security Enforcement in IoT with Machine Learning
☆44Updated 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 3 months ago
- nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques☆111Updated 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☆91Updated 2 years ago
- Implementation of AppScanner☆41Updated 2 years ago
- T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in I…☆83Updated 2 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
- An automatic packet crafting tool for evading learning-based NIDS☆80Updated 3 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆87Updated last year
- ByteIoT: a Practical IoT Device Identification System based on Packet Length Distribution☆13Updated 2 years ago
- This is a Python version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) - an Ethernet traffic Bi-flow generator and analyzer for …☆73Updated 3 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- ☆27Updated last year
- Traffic dataset USTC-TFC2016☆134Updated 5 years ago
- Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis☆128Updated last year
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆34Updated 4 years ago
- ☆83Updated last year
- Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.☆40Updated 4 years ago
- Datasets for paper "Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic"☆15Updated 5 years ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated last year
- IoT Attack Detection with machine learning☆27Updated 11 months ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆72Updated 3 years ago
- ☆18Updated 4 years ago
- It is a network traffic classifier based on deep learning.☆46Updated last year
- Machine-learning-based intrusion detection☆37Updated 6 years ago
- nPrintML creates and runs full ML-based traffic analysis pipelines using nPrint and AutoML.☆54Updated last year
- CICIDS2017 dataset☆69Updated 3 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆40Updated last year
- Traffic analysis for Tor-based malware detection and classification☆39Updated last year
- 网络流量分类对比方法汇总☆178Updated 2 weeks ago