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Beijing University of Information Science and Technology
- China
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🍉一款基于Python-Django的多功能Web安全渗透测试工具,包含漏洞扫描,端口扫描,指纹识别,目录扫描,旁站扫描,域名扫描等功能。
Scripts to generate and analyze the AIT alert data set (AIT-ADS)
Network Log Visualization and Anomaly Detection
Log-based Anomaly Detection Without Log Parsing (ASE 2021, Research Track)
PyTorch implementation of Deeplog: Anomaly detection and diagnosis from system logs through deep learning
Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
log anomaly detection toolkit including DeepLog
Analysis scripts for log data sets used in anomaly detection.
[AAAI 2024] LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
Repository for the paper: On the Influence of Data Resampling for Deep Learning-Based Anomaly Detection: Insights and Recommendations
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection [ASE'23]
Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)
Log anomaly detection on domain knowledge based deep one classifier with autoencoder
Notebooks made for the purpose of Master's thesis at Faculty of Science, University of Split. Thesis name:"Anomaly detection in AWS load balancer logs"
In my kaggle notebook
This project details the analysis of a log file containing HTTP requests recorded by an Intrusion Detection System (IDS).
Log Anomaly Detection - Machine learning to detect abnormal events logs