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

Xuesong Wu, Tianshuai Zheng, Runfang Wu, Jie Ren, Junyan Guo, Ye Du

TL;DR

Hi-SAM introduces the Proof-of-Work idea to authentication, which allows device to obtain the network resource based on frequency and is superior in the optimization of authentication workload and the anomaly detection efficiency.

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.

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

TL;DR

Hi-SAM introduces the Proof-of-Work idea to authentication, which allows device to obtain the network resource based on frequency and is superior in the optimization of authentication workload and the anomaly detection efficiency.

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.
Paper Structure (18 sections, 24 equations, 8 figures, 2 tables)

This paper contains 18 sections, 24 equations, 8 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Related Works
  3. System Formulation
  4. Access Point
  5. Terminal
  6. Framework of Authentication
  7. The High-Scalable Authentication Model
  8. A MFG based Authentication Frequency Optimization
  9. Individual Decisions
  10. Population Trends
  11. Equilibrium characterization
  12. A MAC based Dynamic Time-Range Authentication Policy
  13. Numerical Results
  14. Numerical Convergence
  15. Population Loss
  16. ...and 3 more sections

Figures (8)

  • Figure 1: The framework of Hi-SAM.
  • Figure 2: Example of the triangular density distribution.
  • Figure 3: The framework of dynamic time-range MAC.
  • Figure 4: Population loss under different distribution. (a) Change with mean. (b) Change with variance. (c) Change with size.
  • Figure 5: Detection time under different distribution. (a) Change with mean. (b) Change with variance. (c) Change with size.
  • ...and 3 more figures