Paper
3 June 2014 SecureCPS: Defending a nanosatellite cyber-physical system
Lance Forbes, Huy Vu, Bogdan Udrea, Hamilton Hagar, Xenofon D. Koutsoukos, Mark Yampolskiy
Author Affiliations +
Abstract
Recent inexpensive nanosatellite designs employ maneuvering thrusters, much as large satellites have done for decades. However, because a maneuvering nanosatellite can threaten HVAs on-­orbit, it must provide a level of security typically reserved for HVAs. Securing nanosatellites with maneuvering capability is challenging due to extreme cost, size, and power constraints. While still in the design process, our low-­cost SecureCPS architecture promises to dramatically improve security, to include preempting unknown binaries and detecting abnormal behavior. SecureCPS also applies to a broad class of cyber-­physical systems (CPS), such as aircraft, cars, and trains. This paper focuses on Embry-­Riddle’s ARAPAIMA nanosatellite architecture, where we assume any off-­the-­shelf component could be compromised by a supply chain attack.1 Based on these assumptions, we have used Vanderbilt’s Cyber Physical -­ Attack Description Language (CP-­ADL) to represent realistic attacks, analyze how these attacks propagate in the ARAPAIMA architecture, and how to defeat them using the combination of a low-­cost Root of Trust (RoT) Module, Global InfoTek’s Advanced Malware Analysis System (GAMAS), and Anomaly Detection by Machine Learning (ADML).2 Our most recent efforts focus on refining and validating the design of SecureCPS.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lance Forbes, Huy Vu, Bogdan Udrea, Hamilton Hagar, Xenofon D. Koutsoukos, and Mark Yampolskiy "SecureCPS: Defending a nanosatellite cyber-physical system", Proc. SPIE 9085, Sensors and Systems for Space Applications VII, 90850I (3 June 2014); https://doi.org/10.1117/12.2054162
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Control systems

Satellites

Binary data

Machine learning

Data modeling

Systems modeling

Computing systems

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