TCAS Spoofing Detection via Mode A/C Cross-Validation
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Solution Overview
Problem
Current traffic alert and collision avoidance systems (TCAS) are vulnerable to spoofing attacks, where an attacker can simulate transponder responses, leading to false traffic alerts and potential collisions, with no existing solution for detection.
Innovation Solution
A method for detecting TCAS spoofing involves querying a suspected spoofing aircraft via Mode S, deducing Mode S data, and validating this data by querying via Mode A or Mode C, with repeated validation iterations to confirm the authenticity of the aircraft's responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If TCAS queries surrounding transponders using Mode A/C and Mode S to obtain traffic information, then the system can calculate relative distance, bearing, and altitude for collision avoidance, but the system becomes vulnerable to spoofing attacks where attackers can simulate transponder responses
Solution Approach 1:
The patent applies preliminary action by performing validation queries through Mode A or Mode C before fully trusting Mode S data. The system proactively checks the authenticity of transponder responses by sending validation queries and comparing results, preventing spoofed data from being used in collision avoidance decisions. This advance verification step ensures that even if Mode S data is compromised, the system has already established the true identity and position of surrounding aircraft.
2Productivity
If the TCAS interprets simulated transponder responses as real aircraft, then the system generates traffic alerts and resolution advisories based on false data, but this leads to false alarms and potential collisions
Solution Approach 1:
The patent implements feedback by creating a closed-loop verification system where Mode S responses are validated against Mode A/C query results. The system sends validation queries and uses the responses to confirm or reject the authenticity of initial Mode S data. This feedback mechanism ensures that collision avoidance decisions are based on verified information, eliminating false alarms caused by spoofed transponder responses while maintaining rapid response capability.
Data Source
AI summary
Disclosed is a method of detecting spoofing of a traffic alert and collision avoidance system, known as a TCAS, the TCAS having a Mode A, a Mode C and a Mode S for communicating with surrounding aircraft. The method includes: querying a suspected spoofing aircraft via Mode S of the TCAS and receiving a response to this query; deducing from the response at least some data, known as Mode S data, relating to the suspected spoofing aircraft; and validating Mode S data by querying the suspected spoofing aircraft via Mode A or Mode C of the TCAS.


