Ahsan Saleem (University of Jyväskylä, Finland), Andrei Costin (University of Jyväskylä, Finland), Hannu Turtiainen (University of Jyväskylä, Finland), Timo Hämäläinen (University of Jyväskylä, Finland)

COSPAS-SARSAT is a satellite radio location system for aviation, maritime, and land travellers designed to aid search and rescue (SAR) services in distress. This system effectively detects, processes, and relays distress signals, facilitating prompt responses from SAR services. However, COSPAS-SARSAT 406 MHz protocols, both from an architectural and implementation point of view, exhibit fundamental cybersecurity weaknesses that make them an easy target for potential attackers. The two fundamental flaws of these protocols are the lack of digital signatures (i.e., integrity and authenticity) and encryption (i.e., confidentiality and privacy). The risks associated with these and other weaknesses have been repeatedly demonstrated by ethical cybersecurity researchers.

In this paper, we first present an overview of the insecure design of COSPAS-SARSAT messaging protocols. Subsequently, we propose a lightweight ECDSA message integrity and authenticity scheme that works seamlessly for COSPAS-SARSAT 406 MHz protocols. We propose that the scheme can be added as a backward-compatible software-only upgrade to existing systems without requiring expensive architectural redesign, upgrades, and retrofitting. The preliminary implementation, tests, and results from the lab show that our scheme is effective and efficient in adding message authenticity and integrity and represents a promising applied research direction for a low-cost, potentially backward-compatible upgrade for already deployed and operational systems.

View More Papers

Stacking up the LLM Risks: Applied Machine Learning Security

Dr. Gary McGraw, Berryville Institute of Machine Learning

Read More

MacOS versus Microsoft Windows: A Study on the Cybersecurity...

Cem Topcuoglu (Northeastern University), Andrea Martinez (Florida International University), Abbas Acar (Florida International University), Selcuk Uluagac (Florida International University), Engin Kirda (Northeastern University)

Read More

AVMON: Securing Autonomous Vehicles by Learning Control Invariants and...

Ahmed Abdo, Sakib Md Bin Malek, Xuanpeng Zhao, Nael Abu-Ghazaleh (University of California, Riverside)

Read More

A Preliminary Study on Using Large Language Models in...

Kumar Shashwat, Francis Hahn, Xinming Ou, Dmitry Goldgof, Jay Ligatti, Larrence Hall (University of South Florida), S. Raj Rajagoppalan (Resideo), Armin Ziaie Tabari (CipherArmor)

Read More