Cyber Shuriken
IEEE Submission 2026 · Production System

🚙 ML-Based IDS/IPS for ROS2 Autonomous UGV

What began as a rigorous academic study is now a deployable security product for autonomous ground vehicles — detecting and automatically responding to attacks with no human in the loop.

6
Datasets Validated
4
Layers Protected
Auto
Threat Response
IEEE
2026 Submission
What It Does

From Research Paper to Deployable Product

Full-Stack Vehicle Protection

Protects an autonomous vehicle across every layer — operating system, robotics middleware, network, and physical sensors.

Automated Response

Responds to detected threats automatically — no human intervention required, critical for a moving vehicle.

Independently Validated

Tested against six independent research datasets, with results submitted for peer review.

Hardware-Agnostic

Built to be deployable on real robotic platforms — not just a simulation environment.

Python · Machine Learning · Robotics Security

Building or securing an autonomous system?

This research-to-product pipeline can be adapted for other robotics and cyber-physical platforms.

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