yue123161

Abductive-RL-Anomaly-Detection

aktaion2

Python implementation of the Aktaion project

Anomaly-ReactionRL

Using RL for anomaly detection in NSL-KDD

AppIdentificationHTTPS

论文"Mobile Application Identification Over HTTPS Traffic Based on Multi-view Features"程序

application_classification

To identify pkts or flow progressively.

awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

flow_meter

extract payload sequence features from network traffic pcap files

Paper_TNSM

Code for paper: Contrastive Learning Enhanced Intrusion Detection

PrivacyPreservingTrafficObfuscation

yue123161/Paper_TNSM

Code for paper: Contrastive Learning Enhanced Intrusion Detection

yue123161/awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.

yue123161/flow_meter

extract payload sequence features from network traffic pcap files

yue123161/PrivacyPreservingTrafficObfuscation

yue123161/Abductive-RL-Anomaly-Detection

yue123161/BlueShield

yue123161/CyberBattleSim

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

yue123161/DATSC

Deep Abstention Time Series Classifier

yue123161/DeepAID

Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)

yue123161/DRL-based_IDS

yue123161/few-shot

yue123161/FH-DES_IJCNN

yue123161/flow-aggregation

yue123161/flow-feature

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

yue123161/FS-Net

Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”

yue123161/FUSE

Cloned from 2020 Paper from NDSS

yue123161/Grey_Model

包含灰色预测模型：灰色单变量预测模型GM(1,1)模型，灰色多变量预测模型GM(1,N)模型，GM(1,N)幂模型，灰色多变量周期幂模型GM(1,N|sin)幂模型，以及灰色关联模型

yue123161/HomePWN

HomePwn - Swiss Army Knife for Pentesting of IoT Devices

yue123161/malware-uncertainty

deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware

yue123161/Masktune

yue123161/Open-Set-Traffic-Classification

yue123161/Patch-wise-iterative-attack

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

yue123161/PCAPFeatureExtractor

Feature extraction from PCAP files.

yue123161/PyPASAD

This is a python implementation of the original work in the paper 'Truth will out', Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems. Original Matlab implementation available at https://github.com/mikeliturbe/pasad

yue123161/pytorch-scarf

Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspired from SimCLR and uses a similar architecture and loss.

yue123161/SDC-IL

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

yue123161/SessionVideo

SessionVideo: A Novel Approach for Encrypted Traffic Classification via 3D-CNN Model

yue123161/TLC

PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)

yue123161/TLS-Malware-Detection-with-Machine-Learning

Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption

yue123161/TMorph

Traffic Morphing Framework