Joint Security-Energy-Latency Optimization for Code Offloading in LEO Satellite Networks With Mixed Security Requirements

초록

Satellite edge computing has emerged as a promising paradigm to support global-scale low-latency services by enabling remote code execution in orbit. However, unlike terrestrial networks, satellite communication is fundamentally vulnerable to eavesdropping due to its wide broadcast range, high accessibility, and long-distance propagation, which is further exacerbated by the high altitudes allowing a vast set of potential eavesdropper positions. Despite these unique risks, most prior works have either ignored security or treated it as a uniform concern across services. In this paper, we take an initial step toward secure satellite edge computing by explicitly modeling and optimizing for security heterogeneity, i.e., diverse security demands across different services and dynamic jamming strategies. We formulate a novel optimization problem that jointly minimizes average information leakage for security-sensitive services and overall energy consumption while meeting latency constraints. To solve it, we propose a stochastic optimization-based algorithm, namely SOS, which dynamically controls code offloading, resource allocation, and jamming strategy with respect to service-specific security requirements. Extensive simulations show that SOS outperforms existing schemes by achieving up to a 92% reduction in average information leakage with only an 18% increase in energy consumption at the same latency compared to an existing algorithm. Moreover, SOS maintains high jamming efficiency and leakage robustness under both colluding and non-colluding attacks. Our findings highlight a fundamental yet overlooked security-energy-latency trade-off and position SOS as a pioneering step toward security-aware satellite edge computing.

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