Syed Khandker (New York University Abu Dhabi), Krzysztof Jurczok (Amateur Radio Operator), Christina Pöpper (New York University Abu Dhabi)

COSPAS-Sarsat is a global satellite-based search and rescue system that provides distress alert and location information to aid in the rescue of people in distress. However, recent studies show that the system lacks proper security mechanisms, making it vulnerable to various cyberattacks, including beacon spoofing, hacking, frequency jamming, and more. This paper proposes a backward-compatible solution to address these longstanding security concerns by incorporating a message authentication code (MAC) and timestamp. The MAC and timestamp ensure the integrity and authenticity of distress signals, while backward compatibility enables seamless integration with existing beacons. The proposed solution was evaluated in both a laboratory setting and a real-world satellite environment, demonstrating its practicality and effectiveness. Experimental results indicate that our solution can effectively prevent attacks such as spoofing, man-in-the-middle, and replay attacks. This solution represents a significant step toward enhancing the security of COSPAS-Sarsat beacon communication, making it more resilient to cyberattacks, and ensuring the timely and accurate delivery of distress signals to search and rescue authorities.

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SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing

Lian Gao (University of California Riverside), Yu Qu (University of California Riverside), Sheng Yu (University of California, Riverside & Deepbits Technology Inc.), Yue Duan (Singapore Management University), Heng Yin (University of California, Riverside & Deepbits Technology Inc.)

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AegisSat: A Satellite Cybersecurity Testbed

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)

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From Hardware Fingerprint to Access Token: Enhancing the Authentication...

Yue Xiao (Wuhan University), Yi He (Tsinghua University), Xiaoli Zhang (Zhejiang University of Technology), Qian Wang (Wuhan University), Renjie Xie (Tsinghua University), Kun Sun (George Mason University), Ke Xu (Tsinghua University), Qi Li (Tsinghua University)

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