Space-based assets rely on public key cryptography to ensure secure command, control, and telemetry operations. However, conventional algorithms like Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cry..
Space-based assets rely on public key cryptography to ensure secure command, control, and telemetry operations. However, conventional algorithms like Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC) are susceptible to Shor’s algorithm when exposed to advanced quantum computing. In this poster, we focus on a quantum-resistant encryption methodology rooted in polynomial rings, specifically Ring Learning With Errors (RLWE). Rather than assessing its quantum resilience, we aim to evaluate throughput and timing variations across diverse telemetry data payloads on representative CPU hardware commonly used in space assets. We will analyze the encryption durations of telemetry payloads and project an experimental encryption rate of 16 Mb/s. Furthermore, we will explore the capabilities of RLWE in handling high-bandwidth data, such as images and videos. Finally, we will address the feasibility of integrating RLWE into legacy space assets based on our findings.
