Stars
A collection of architectural patterns leveraging Large Language Models (LLMs) for efficient Text-to-SQL generation.
CANTXSec: A Deterministic Intrusion Detection and Prevention System for CAN Bus Monitoring ECU Activations
Python3 based generator for SOME/IP packets
RNN-based IDS for SOME/IP Intrusion Detection
[WWW'23] TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
OpenAvnu - an Avnu sponsored repository for Time Sensitive Network (TSN and AVB) technology
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.
: An LLM Approach for Open-Set Encrypted Traffic Classification
KG-ID_Knowledge_Graph_Based_Intrusion_Detection_On_In_Vehicle_Network
An educational focused machine learning detection program for malicious attacks on CAN and Automotive Ethernet networks.
Command program to build {CAN | CAN FD | Automotive Ethernet} dataset.
Repository with details for a ECUPrint dataset (CAN logs and CAN voltage samples)
A curation of awesome papers, datasets and tools about network traffic analysis.
[AAAI'25] Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
A state-aware defense framework against vehicular message injection attacks.
This project aims to consolidate and share high-quality resources and tools across the cybersecurity domain.
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
A curated list of awesome security tools, experimental case or other interesting things with LLM or GPT.
A curation of awesome tools, documents and projects about LLM Security.
CAN Commander is a comprehensive tool designed for the reverse engineering of CAN (Controller Area Network) bus systems. This project aims to provide a robust platform for automotive enthusiasts, e…