Edd Salkield, Sebastian Köhler, Simon Birnbach, Richard Baker (University of Oxford). Martin Strohmeier (armasuisse S+T), Ivan Martinovic (University of Oxford)

Presenter: Edd Salkield

Data from Earth Observation satellites has become crucial in private enterprises, research applications, and in coordinating national responses to events such as forest fires. These purposes are supported by data derived from a variety of satellites, some of which do not secure the wireless downlink channel effectively. This opens the door for modern adversaries to conduct spoofing attacks by overshadowing the signal with commercially available radio equipment.

In this paper, we assess the vulnerability of current Earth Observation systems to spoofing attacks conducted at the physical layer. The effect of these attacks is amplified since the data is received at dedicated ground stations and distributed to hundreds of downstream systems, which are themselves not designed with security in mind. Specifically, we take NASA’s live forest fire detection system as a case study, and demonstrate that the attacker can achieve arbitrary manipulation of fires in the derived dataset to trigger false emergency responses or mislead crisis analysis. We also assess the attack surface presented by ground station software which implicitly trusts data from the RF port. Against the NASA system we uncover several new vulnerabilities that can be exploited to stealthily deny service.

We conclude with a discussion of physical-layer counter-measures to detect and defend against spoofing, which can be implemented in existing deployments at the ground station.

View More Papers

Lightning Community Shout-Outs to:

(1) Jonathan Petit, Secure ML Performance Benchmark (Qualcomm) (2) David Balenson, The Road to Future Automotive Research Datasets: PIVOT Project and Community Workshop (USC Information Sciences Institute) (3) Jeremy Daily, CyberX Challenge Events (Colorado State University) (4) Mert D. Pesé, DETROIT: Data Collection, Translation and Sharing for Rapid Vehicular App Development (Clemson University) (5) Ning…

Read More

Anomaly Detection in the Open World: Normality Shift Detection,...

Dongqi Han (Tsinghua University), Zhiliang Wang (Tsinghua University), Wenqi Chen (Tsinghua University), Kai Wang (Tsinghua University), Rui Yu (Tsinghua University), Su Wang (Tsinghua University), Han Zhang (Tsinghua University), Zhihua Wang (State Grid Shanghai Municipal Electric Power Company), Minghui Jin (State Grid Shanghai Municipal Electric Power Company), Jiahai Yang (Tsinghua University), Xingang Shi (Tsinghua University), Xia…

Read More

Operationalizing Cybersecurity Research Ethics Review: From Principles and Guidelines...

Dennis Reidsma, Jeroen van der Ham, and Andrea Continella (University of Twente)

Read More