Stars
Elsevier latex template 'els-cas-templates'（爱思唯尔期刊-latex双栏版本）
The system includes information collection, simple vulnerability scanning, weak password recognition, and simple graphical display. It also includes a risk assessment of KNN algorithm.
The repository of GALG, a graph-based artificial intelligence approach to link addresses for user tracking on TLS encrypted traffic. The work has been accepted as ECML/PKDD 2022 accepted Paper.
The repository of SiamHAN, an IPv6 address correlation model on TLS encrypted traffic. The work has been accepted as USENIX Security 2021 accepted Paper.
code repository for the the paper "Encrypted Network Traffic Classification with Higher Order Graph Neural Network"
Flow Interaction Graph based attack traffic detection system.
RBLJAN: Robust Byte-Label Joint Attention Network for Network Traffic Classification
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".
Cisco ASA System Logs Generator for Anomaly Detection
System Log Analysis for Anomaly Detection Using Machine Learning
Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)
Flash-IDS is an open-source system developed by the DART Laboratory for advanced intrusion detection using provenance graph representation learning. It implements the techniques presented in our IE…
Pytorch implementation of Tiresias: Predicting Security Events Through Deep Learning
FudanSELab / train-ticket
Forked from hechuan73/train_ticketTrain Ticket - A Benchmark Microservice System
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning
该资源是各种溯源图相关的论文和资源总结（含PPT），涉及APT攻击检测、入侵检测、流量日志检测、系统安全等领域，希望对大家有所帮助~
epanetCPA is a MATLAB® toolbox for assessing the impacts of cyber-physical attacks on water distribution systems
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Implementation of Multi-Scale Convolutional Recurrent Encoder-Decoder (MSCRED) framework for anomaly detection in the context of predictive maintenance.
SageMaker implementation of LSTM-AE model for time series anomaly detection.
an innovative framework for indoor air quality outlier detection, comprising three modules: LSTM-AE-based reconstruction error detector, latent feature class-assisted SVM detector, and an ensemble …
An LSTM auto-encoder for Multivariate Cyclic Time Series (MCTS) anomaly detection. The code can be adapted to any MCTS but was applied on Wafer dataset.
Code for the paper Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.