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Security of ADS-B and Remote ID Systems: Cyberattacks, Detection Techniques, and Countermeasures

Qinxuan Shi¹, Toro Dama Caleb¹, Sicong Shao¹

¹School of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND 58202, USA.

Sensors (Basel, Switzerland)

|January 28, 2026

Abstract

None:

The aviation sector relies on cooperative surveillance systems such as Automatic Dependent Surveillance-Broadcast (ADS-B) and Remote Identification (RID) to enhance safety and efficiency. However, their open, unencrypted communication protocols make them vulnerable to various cyberattacks. This survey examines the current state of knowledge on attacks, detection techniques, and countermeasures for both ADS-B and RID, addressing a gap in the literature by analyzing them side by side. It categorizes attacks, including emerging threats, reviews detection methods from traditional to modern AI-based approaches and discusses existing countermeasures. Furthermore, this paper provides a list of simulation tools and open-access datasets and identifies current research challenges and future directions.

Keywords:

ADS-B Remote ID attack countermeasures attack detection cybersecurity risk analysis unmanned aerial system

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