Open-source and real-time orchestrator for cyber-physical-systems, to easily design, test and deploy embedded applications and digital twins.

Free (standard conforming) library to model mechanical (1D/3D), electrical (analog, digital, machines), magnetic, thermal, fluid, control systems and hierarchical state machines. Also numerical functions and functions for strings, files and streams are included.

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

Computing reachable states of dynamical systems in Julia

Welcome Cybersecurity's World. An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources in Cybersecurity.

MiniCPS: a framework for Cyber-Physical Systems real-time simulation, built on top of mininet

Virtual Reality Software Library

🏭 ↔️ 👥 Digital Twin as a Service

Neural Network Verification Software Tool

KeYmaera X: An aXiomatic Tactical Theorem Prover for Hybrid Systems (release)

A Framework for Generating and Executing Digital Twins

The Verifiably Safe Reinforcement Learning Framework

Reachability and Safety of Nondeterministic Dynamical Systems

A header-only C++ library for system-level verification and declarative testing of real-time systems with Python bindings.

This repo contains all the codes and data for 'Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach'

Maritime Cyber Security Testbed

C++ framework for rigorous computation on cyber-physical systems

Automated Security Risk Identification Using AutomationML-based Engineering Data

ML-Quadrat (ML2) is a Model-Driven Software Engineering (MDSE) tool with full code generation and out-of-the-box Machine Learning (ML) support at the modeling layer for creating smart services for the Internet of Things (IoT) and Cyber-Physical Systems (CPS).

This repo contains code and visualisation for "Robust moving target defence against false data injection attacks in power grids"