Resilient Cyber-Physical Traffic Systems: Spoofing Detection and State Recovery via Generative Safety Twins

Published: 14 May 2026| Version 1 | DOI: 10.17632/cws6b5xfh5.1
Contributor:
Zahra Moradi

Description

This repository contains the simulation code, neural network models (VAE and AE), and a large-scale dataset (200,000 samples) of normal and attacked traffic states. It is the official implementation for the paper "Resilient Cyber-Physical Traffic Systems: Spoofing Detection and State Recovery via Generative Safety Twins".

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Categories

Cybersecurity, Urban Analysis

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