AegisSat: Securing AI-Enabled SoC FPGA Satellite Platforms
Huimin Li, Vusal Novruzov, Nikhilesh Singh, Lichao Wu, Mohamadreza Rostami, Ahmad-Reza Sadeghi

TL;DR
This paper introduces AegisSat, a security framework for AI-enabled satellite systems using SoC FPGAs, focusing on secure boot, resource isolation, authenticated updates, and rollback to ensure system integrity and resilience.
Contribution
It presents a comprehensive security framework tailored for satellite platforms with SoC FPGAs, integrating cryptographic, isolation, and recovery mechanisms to enhance security and reliability.
Findings
Successful integration of security mechanisms on FPGA devices
Enhanced system integrity and resilience demonstrated
Framework suitable for long-term space operations
Abstract
The increasing adoption of System-on-Chip Field-Programmable Gate Arrays (SoC FPGAs) in AI-enabled satellite systems, valued for their reconfigurability and in-orbit update capabilities, introduces significant security challenges. Compromised updates can lead to performance degradation, service disruptions, or adversarial manipulation of mission outcomes. To address these risks, this paper proposes a comprehensive security framework, AegisSat. It ensures the integrity and resilience of satellite platforms by (i) integrating cryptographically-based secure boot mechanisms to establish a trusted computing base; (ii) enforcing strict runtime resource isolation; (iii) employing authenticated procedures for in-orbit reconfiguration and AI model updates to prevent unauthorized modifications; and (iv) providing robust rollback capabilities to recover from boot and update failures and maintain…
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Taxonomy
TopicsSpace Satellite Systems and Control · Cryptographic Implementations and Security · Spacecraft Design and Technology
