Abstract
This research paper introduces a cutting-edge approach to security design for advanced smart lunar robot swarms, utilizing the Strategic Alliance for Blockchain Governance Game (SABGG). This innovative theoretical game model plays a crucial role in forecasting and orchestrating security measures well in advance of potential cyber threats. Specifically, the SABGG is customized to develop preemptive security strategies within a strategic alliance framework, aimed at protecting AIenabled smart lunar robots that operate autonomously within a blockchain-based swarm network. This advancement paves the way for pioneering developments in decentralized network architecture security, representing a significant stride forward in the field of autonomous robotic systems. This paper delves into the mechanisms by which the SABGG model integrates within the broader context of swarm robotics, setting a new benchmark for the integration of blockchain technology in autonomous systems security.
| Original language | English |
|---|---|
| Pages (from-to) | 100-106 |
| Number of pages | 7 |
| Journal | International Conference on Robotics and Automation Sciences, ICRAS |
| Issue number | 2025 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 9th International Conference on Robotics and Automation Sciences, ICRAS 2025 - Osaka, Japan Duration: 27 Jun 2025 → 29 Jun 2025 |
Keywords
- 51 percent attack
- Blockchain Governance Game
- cycbersecurity
- fluctuation theory
- Internet of Things
- lunar robot swarm
- network architecture
- SORA-Q
- strategic alliance
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