Young Eun Kwon (Korea University), Ji Won Yoon (Korea University)

Low Earth Orbit (LEO) satellite networks operate under strict latency and reliability constraints, yet require Post-Quantum Cryptography (PQC) to secure them from future threats. The large signature sizes of most PQC algorithms, however, conflict with these network-level constraints. Through comprehensive ns-3 simulations (modeling fragmentation, packet loss, and handovers), this paper demonstrates that network performance, not raw CPU computation, is the dominant factor for PQC in LEO.

We find that PQC certificates exceeding the 1500-byte MTU, like Dilithium (2,588 B), incur IP fragmentation. While aggressive TCP congestion windows might mask the initial latency in ideal conditions, we demonstrate that this multi-packet nature induces a severe reliability penalty regardless of window size. Specifically, fragmentation doubles the exposure to packet loss, increasing the probability of a catastrophic TCP RTO (1,000 ms+) during ‘Rain Fade’ events to 51%, compared to just 30% for the single-packet Falcon (858 B). This results in a massive 100-500% latency penalty in lossy conditions, rendering Dilithium’s 18 μs CPU advantage negligible. Finally, we prove a Full-PQC data verification model is infeasible, creating a 345 ms CPU bottleneck and confirming the necessity of a Hybrid-PQC approach.

We conclude that the Falcon-based hybrid protocol is the only solution that simultaneously avoids both network-level (fragmentation, RTO) and CPU-level (bottleneck) penalties, establishing it as the most practical and robust quantum-resistant solution for future LEO satellite networks.

View More Papers

NeuroStrike: Neuron-Level Attacks on Aligned LLMs

Lichao Wu (Technical University of Darmstadt), Sasha Behrouzi (Technical University of Darmstadt), Mohamadreza Rostami (Technical University of Darmstadt), Maximilian Thang (Technical University of Darmstadt), Stjepan Picek (University of Zagreb & Radboud University), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

Read More

ZKSL: Verifiable and Efficient Split Federated Learning via Asynchronous...

Yixiao Zheng (East China Normal University), Changzheng Wei (Digital Technologies, Ant Group), Xiaodong Qi (East China Normal University), Hanghang Wu (Digital Technologies, Ant Group), Yuhan Wu (East China Normal University), Li Lin (Digital Technologies, Ant Group), Tianmin Song (East China Normal University), Ying Yan (Digital Technologies, Ant Group), Yanqing Yang (East China Normal University), Zhao…

Read More

DOM-XSS Detection via Webpage Interaction Fuzzing and URL Component...

Nuno Sabino (Carnegie Mellon University, Instituto Superior Técnico, Universidade de Lisboa, and Instituto de Telecomunicações), Darion Cassel (Carnegie Mellon University), Rui Abreu (Universidade do Porto, INESC-ID), Pedro Adão (Instituto Superior Técnico, Universidade de Lisboa, and Instituto de Telecomunicações), Lujo Bauer (Carnegie Mellon University), Limin Jia (Carnegie Mellon University)

Read More