How to secure CAV perception data sharing?
CONClave - Secure and Robust Cooperative Perception for CAVs Using Authenticated Consensus and Trust Scoring
September 5, 2024
https://arxiv.org/pdf/2409.02863This research paper introduces CONClave, a system designed to make cooperative perception in autonomous vehicles (using data from multiple vehicles and sensors) more secure and reliable.
Here's how it's relevant to LLM-based multi-agent systems:
- Authentication is key: CONClave proposes a three-party authentication system (manufacturer, government, vehicle) to prevent unauthorized agents from joining the system, ensuring only legitimate LLMs participate.
- Reaching consensus is crucial: CONClave uses a fast consensus protocol to ensure all agents agree on the sensor data, even with unreliable communication. This is vital for LLMs to have a shared understanding of the environment.
- Trust scoring ensures reliability: CONClave evaluates the trustworthiness of each agent's data, ensuring that inaccurate or malicious information is disregarded. This is important for LLMs to make safe and informed decisions.