Thesis: GNSS anti-spoofer
GNSS (Global Navigation Satellite System) is a key technology in modern trucks, used for a wide variety of functions such as positioning but also as a sensor providing accurate time data. The usage of GNSS ranges from functions related to convenience, all the way to functions that are safety critical for truck drivers. Some of those functions are even regulated by legislation.
Since GNSS relies on external input from truck’s antenna, it is relatively easy to fool the GNSS sensor. All that is needed is a software driven radio and some inexpensive hardware.
Therefore, regular GNSS systems are eventually vulnerable to spoofing attacks by anyone with malicious intentions. Sometimes even drivers or vehicle owners can find motivations to attempt fooling GNSS measurements on their benefit.
We will develop a platform that can detect malicious attempts to disturb/spoof the GNSS-position.
Goal of the thesis
Find the different ways that GNSS can be tampered with and what existing solutions there are for handling this that can be applied to already existing products or could influence future hardware.
For each threat there should be a way to either prevent or at least detect and mitigate the threat. Mitigation shall be tailored to the type of threat. I.e. if a truck owner is trying to save money by spoofing the GNSS system, it does not seem useful to use a warning lamp in the vehicle. With at least one threat selected implement a way to detect/prevent this threat. This should preferably be done on an existing Linux based platform with on board GNSS.
The work shall be done on an existing ARM-based hardware running Linux. If extra hardware is needed for detection/prevention other alternatives can be used.
- Radio/wireless communication theory
- Linux, C++
- DSP knowledge
As soon as possible.
The scope can be flexible and adapted to 1-2 students, depending on how many students you are and how much time you have for your thesis.
Some reference links:
Gino George will supervise at an estimated 5h / week.
For more information please contact
Gabriel Ibáñez, Innovation Leader, 0722388479
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