Roee Idan, Roy Peled, Aviel Ben Siman Tov, Eli Markus, Boris Zadov, Ofir Chodeda, Yohai Fadida (Ben Gurion University of the Negev), Oliver Holschke, Jan Plachy (T-Labs (Research & Innovation)), Yuval Elovici, Asaf Shabtai (Ben Gurion University of the Negev)

The rapid increase in satellite deployment, and particularly nanosatellite deployment, has heightened their exposure to cybersecurity threats, making the task of safeguarding sensitive operations and data challenging. and making the task of safeguarding sensitive operations and data increasingly challenging. To address these challenges, we developed AegisSat, an open-source satellite cybersecurity testbed to study satellite resilience to cyberattacks and test dedicated detection and defense mechanisms, including machine learning-based solutions. Our testbed includes a physical CubeSat (Earth-based) and an environment emulator that mimics realistic orbital conditions such as sunlight, and magnetic fields. We also created a comprehensive dataset consisting of telemetry data and labeled attack data from experiments conducted using different scenarios. The data was collected during hundreds of experiments we performed in the testbed. By making both the design of the testbed and the dataset accessible to the research community, this work advances understanding of satellites’ vulnerability to cyberattacks, drives the development of robust cybersecurity defenses, and establishes a platform for future research.

View More Papers

Space Cybersecurity Testbed: Fidelity Framework, Example Implementation, and Characterization

Jose Luis Castanon Remy, Caleb Chang, Ekzhin Ear, Shouhuai Xu (University of Colorado Colorado Springs (UCCS))

Read More

Mysticeti: Reaching the Latency Limits with Uncertified DAGs

Kushal Babel (Cornell Tech & IC3), Andrey Chursin (Mysten Labs), George Danezis (Mysten Labs & University College London (UCL)), Anastasios Kichidis (Mysten Labs), Lefteris Kokoris-Kogias (Mysten Labs & IST Austria), Arun Koshy (Mysten Labs), Alberto Sonnino (Mysten Labs & University College London (UCL)), Mingwei Tian (Mysten Labs)

Read More

LADDER: Multi-Objective Backdoor Attack via Evolutionary Algorithm

Dazhuang Liu (Delft University of Technology), Yanqi Qiao (Delft University of Technology), Rui Wang (Delft University of Technology), Kaitai Liang (Delft University of Technology), Georgios Smaragdakis (Delft University of Technology)

Read More

Detecting Ransomware Despite I/O Overhead: A Practical Multi-Staged Approach

Christian van Sloun (RWTH Aachen University), Vincent Woeste (RWTH Aachen University), Konrad Wolsing (RWTH Aachen University & Fraunhofer FKIE), Jan Pennekamp (RWTH Aachen University), Klaus Wehrle (RWTH Aachen University)

Read More