LinqiChen0821

LinqiChen0821's Stars

• deepsea52418/OMNeT_TSNkit

  Using TSNkit and OMNeT for TSN network scheduling and simulation

  Language:C++273

• morton-t/VANET-Simulations

  Contains research on Sybil attack detection in Vehicular Ad-Hoc Networks (VANETs) using OMNET++ IDE with VEINS and SUMO traffic simulation software. All scenarios may be ran with OMNET++ by running the omnetpp.ini file after starting the TRACI command interface using the veins_launchd.py script alongside Sumo-Gui.

  Language:Jupyter Notebook3

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.8k3k

• xbfu/Spatiotemporal-Attention-Networks

  Spatiotemporal Attention Networks for Wind Power Forecasting

  Language:Python6911

• philipperemy/keras-attention

  Keras Attention Layer (Luong and Bahdanau scores).

  Language:Python2.8k676

• smousavi05/CRED

  CRED: A deep residual network of convolutional and recurrent units for earthquake signal detection

  Language:Python216

• PatientEz/CNN-BiLSTM-Attention-Time-Series-Prediction_Keras

  CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

  Language:Python53991

• philipperemy/keras-tcn

  Keras Temporal Convolutional Network.

  Language:Python1.9k454

• vanlalruata/DCNNBiLSTM-An-Efficient-Hybrid-Deep-Learning-Based-Intrusion-Detection-System

  Journal Article: Telematics and Informatics Reports

  Language:Jupyter Notebook81

• ririhedou/systemCallAnomalyDetectionLSTM

  system call-based anomaly detection with LSTM

  Language:Python3213

• tamimmirza/Intrusion-Detection-System-using-Deep-Learning

  VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

  Language:Jupyter Notebook13456

• rahulvigneswaran/Intrusion-Detection-Systems

  This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

  Language:Python23999

• Diyago/Tabular-data-generation

  We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

  Language:Python51782

• KKKc3231/ML-DL_IDS

  机器学习/深度学习实现入侵检测项目

  Language:Python282

• xins981/ddosattacks

  simulate the ddos network attacks based omnet++

  Language:C++4

• MorStardust/cnn

  cic ids 2017 dos

  Language:Jupyter Notebook43

• mvoassis/CIC-DDoS2019-DeepLearning

  :shield: A GRU deep learning system against attacks in Software Defined Networks (SDN).

  Language:Jupyter Notebook216

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.1k874

• razor08/Efficient-CNN-BiLSTM-for-Network-IDS

  Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS

  Language:Jupyter Notebook9416

• mauro-belgiovine/DDoS_simulator

  Omnetpp project to simulate a DDoS attack and a basic defense mechanism

  Language:C++42

• Western-OC2-Lab/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning

  Code for intrusion detection system (IDS) development using CNN models and transfer learning

  Language:Jupyter Notebook12734

• ahlashkari/CICFlowMeter

  CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

  Language:Java517266

• BNN-UPC/NetworkModelingDatasets

  This repository contains datasets for network modeling simulated with OMNet++

  8017

• InitRoot/UNSW_NB15

  Feature coded UNSW_NB15 intrusion detection data.

  7637

• ChenYuHo/SwitchML-omnetpp

  OMNet++ simulation model for SwitchML

  Language:C++4

• mmodenesi/omnetpy

  Using OMNeT++ from python

  Language:C++6013

• robertomagan/neta_v1

  NETA - NETwork Attacks framework for OMNET++ - v1.0

  Language:C++46

• T12z/Scade2Trdp

  Translator to generate IEC61375 TCN TRDP datasets from Scade model operator input / outputs

  Language:C1

• ubeyu/tcnopen-tsp-visualization

  个人开发，是对「tcnopen-trdp-extension」列车通信网络仿真平台项目的可视化界面实现，基于SpringBoot开发了Web可视化界面。

  Language:JavaScript3

• MengWoods/tcn-open-static-lib

  The static library of Train Real Time Data Protocol

  Language:C5