A neurosymbolic framework for vulnerability detection in code

LuaN1ao (鸾鸟) is an autonomous penetration testing agent based on state awareness and causal reasoning.

📦 Make security testing of K8s, Docker, and Containerd easier.

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / U…

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

MCP Monitoring with eBPF

SecGPT网络安全大模型

Instant Kubernetes-Native Application Observability

Generate bpftrace eBPF programs online with GPT or LLM

MCP server implementation for Tetragon

基于函数级污点分析的 Java 源代码漏洞审计工具JavaSinkTracer，通过 Model Context Protocol (MCP) 为 AI 助手提供安全分析能力。

[ISSTA 2025] Unlocking Low Frequency Syscalls in Kernel Fuzzing with Dependency-Based RAG

The design and implementation of an advanced BiLSTM-based model integrated with an attention mechanism for network intrusion detection using the NSL-KDD dataset.

AI-enhanced Intrusion Detection System (IDS) designed to monitor network traffic on your home Wi-Fi network

ReplicaWatcher: Training-less Anomaly Detection in Containerized Microservices - NDSS'24

A simple rootkit written in ebpf.

This utility allows users to track changes in a specified file and prints a timestamp when modifications occur.

Reuploaded the Project again.

ML analysis for paper: Intrusion Detection Monitoring for Linux

SharpEye: Advanced Linux Intrusion Detection and Threat Hunting System

exploring anomaly detection of syscalls

a labelled version of the ADFA-LD dataset for HIDS evaluation

A categorized list of system calls used by popular Unix-like operating systems

This document serves as a guide for installing and using DynBox, a dynamic system call sandbox designed to isolate vulnerable programs. It is the accompanying artifact for the OOPSLA 2023 submissio…

TU Delft CSE3000 Research Project code and artifacts