Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks

Intrusion Detection System for In-Vehicle Network

🚗 A curated list of resources for learning about vehicle security and car hacking.

ReCAN Source - Reverse engineering of Controller Area Networks - In collaboration with the Politecnico di Milano, Italy

Automated Payload Reverse Engineering Pipeline for the Controller Area Network (CAN) protocol

CNN with attention and CNN_LSTM_attention(pytorch)

Graduation Project

"Normal and Malicious Sliding Windows Similarity Analysis Method for Fast and Accurate IDS against DoS Attacks on In-Vehicle Networks" IEEE Access 2020

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

Instrument Cluster Simulator

Interview = 简历指南 + 算法题 + 八股文 + 源码分析

Implement Time Series Prediction by Transformer Model.

A modified Transformer model for multi-horizon time series prediction with multi variables

Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT

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

Multivariate Time Series Transformer, public version

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Sharkticon is an anomaly detection system, it analyzes your network using a Transformers model adapted to the anomaly detection.

基于机器学习的入侵检测系统

基于Visual C++开发，用于模拟发送公交车的CAN总线数据，以进行车载物联网系统测试。