kahramankostas / IoTDevIDv2
A Behavior-Based Device Identification Method for the IoT
☆48Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for IoTDevIDv2
- IoT SENTINEL : Automated Device-Type Identification for Security Enforcement in IoT☆41Updated 5 years ago
- ☆35Updated last year
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆31Updated 3 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆56Updated 4 years ago
- A Behaviour-Based Fingerprinting Method for Device Identification in the IoT☆22Updated 2 years ago
- ☆65Updated 11 months ago
- WWW'23 Research Paper: TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification☆65Updated 8 months ago
- An automatic packet crafting tool for evading learning-based NIDS☆74Updated 2 years ago
- Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis☆122Updated last year
- 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☆78Updated 2 years ago
- T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in I…☆74Updated 2 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆76Updated 10 months ago
- ByteIoT: a Practical IoT Device Identification System based on Packet Length Distribution☆11Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆73Updated 2 years ago
- Traffic dataset USTC-TFC2016☆113Updated 5 years ago
- ☆42Updated 3 years ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated 7 months ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆36Updated 8 months ago
- CICIDS2017 dataset☆55Updated 2 years ago
- Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"☆31Updated 5 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。☆42Updated 4 years ago
- tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.☆23Updated this week
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆20Updated last year
- using deep learning to classify the encrypted network traffic☆144Updated 3 years ago
- Implementation of AppScanner☆40Updated 2 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆20Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 3 years ago
- It is a network traffic classifier based on deep learning.☆43Updated 8 months ago