Hi-SAM: A high-scalable authentication model for satellite-ground Zero-Trust system using mean field game

TL;DR

This paper introduces Hi-SAM, a scalable satellite-ground authentication model leveraging mean field game theory and proof-of-work to enhance security and efficiency in IoT-enabled satellite networks.

Contribution

Hi-SAM is the first to integrate mean field game optimization with proof-of-work for scalable satellite-ground authentication in Zero-Trust systems.

Findings

Improves authentication workload management at large scales

Enhances anomaly detection efficiency

Reduces decision complexity in large population games

Abstract

As more and more Internet of Thing (IoT) devices are connected to satellite networks, the Zero-Trust Architecture brings dynamic security to the satellite-ground system, while frequent authentication creates challenges for system availability. To make the system's accommodate more IoT devices, this paper proposes a high-scalable authentication model (Hi-SAM). Hi-SAM introduces the Proof-of-Work idea to authentication, which allows device to obtain the network resource based on frequency. To optimize the frequency, mean field game is used for competition among devices, which can reduce the decision space of large-scale population games. And a dynamic time-range message authentication code is designed for security. From the test at large population scales, Hi-SAM is superior in the optimization of authentication workload and the anomaly detection efficiency.