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arXiv 2609.28228cs.CR

MimicSat:用于小卫星系统与网络安全研究的可重构网络物理测试平台

MimicSat: A Reconfigurable Cyber-Physical Testbed For Small Satellite Systems and Cybersecurity Research

Nisha Vinayaga-Sureshkanth, A H M Nazmus Sakib, Mahsin Bin Akram, David R. Silva, Murtuza Jadliwala

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中文总结 AI 辅助

MimicSat是一个可重构的网络物理测试平台,用于研究卫星子系统行为变化对任务结果的影响,支持软件与硬件执行环境,并应用于网络安全、系统工程和弹性研究。

中文摘要 AI 辅助

MimicSat提供了一个通用的实验环境,用于研究卫星子系统行为的变化如何在基于软件和基于硬件的执行中传播到任务结果。其设计动机是受控的航天器网络安全研究,涉及攻击、故障和防御响应。在MimicSat中,任务包括实现既定目标所需的航天器和地面活动,而实验则由一次或多次任务运行组成,用于研究选定的条件或干预措施。为了支持此类研究,MimicSat提供了基于软件和基于硬件的执行环境,这些环境实现相同的任务功能和数据交换,同时允许特定功能以不同方式实现。共享的任务定义在不同环境中保留了命令和遥测语义,收集的观测数据保留了关于原始参与者和采集路径的来源信息。因此,无需重新定义周围任务,即可在不同执行配置之间比较任务行为。本文介绍了MimicSat的架构原则、其软件和硬件执行形式及其集成操作。MimicSat还支持卫星系统工程、任务操作、弹性研究及相关实验用例。

英文摘要

MimicSat provides a common experimental environment for examining how changes in satellite subsystem behavior propagate to mission outcomes across software-based and hardware-based execution. Its design is motivated by controlled spacecraft cybersecurity studies involving attacks, faults, and defensive responses. In MimicSat, a mission encompasses the spacecraft and ground activities required to achieve defined objectives, and an experiment consists of one or more mission runs used to study selected conditions or interventions. To support such studies, MimicSat offers software-based and hardware-based execution environments that implement the same mission functions and data exchanges, while allowing specific functions to be realized differently. A shared mission definition preserves command and telemetry semantics across environments, and collected observations retain provenance about the originating participants and acquisition paths. As a result, mission behavior can be compared across execution configurations without redefining the surrounding mission. This paper presents the architectural principles of MimicSat, its software and hardware execution forms, and their integrated operation. MimicSat also supports satellite systems engineering, mission operations, resilience studies, and related experimental use cases.

发表机构

  • The University of Texas at San Antonio(圣安东尼奥德克萨斯大学)

机构由 AI 辅助整理,请以论文原文为准。

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