Implements AI-driven countermeasures to packet falsification in vehicle platooning through explainable decision models.
It provides experimental datasets and algorithms combining cybersecurity monitoring with intelligible analytics.
Paper: “Design of countermeasure to packet falsification in vehicle platooning by explainable artificial intelligence,” Computer Communications, 2021.
Repository: github.com/mopamopa/Cyberplatooning