Aircraft Mode S Transponder Fingerprinting for Intrusion Detection

Nowadays, aircraft safety is based on different systems and four of them share the same data-link protocol: Secondary Surveillance Radar, Automatic Dependent Surveillance System, Traffic Collision Avoidance System, and Traffic Information System use the Mode S protocol to send and receive informatio...

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Main Authors: Mauro Leonardi, Fabrizio Gerardi
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/7/3/30
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author Mauro Leonardi
Fabrizio Gerardi
author_facet Mauro Leonardi
Fabrizio Gerardi
author_sort Mauro Leonardi
collection DOAJ
description Nowadays, aircraft safety is based on different systems and four of them share the same data-link protocol: Secondary Surveillance Radar, Automatic Dependent Surveillance System, Traffic Collision Avoidance System, and Traffic Information System use the Mode S protocol to send and receive information. This protocol does not provide any kind of authentication, making some of these applications vulnerable to cyberattacks. In this paper, an intrusion detection mechanism based on transmitter Radio Frequency (RF) fingerprinting is proposed to distinguish between legitimate messages and fake ones. The proposed transmitter signature is described and an intrusion detection algorithm is developed and evaluated in case of different intrusion configurations, also with the use of real recorded data. The results show that it is possible to detect the presence of fake messages with a high probability of detection and very low probability of false alarm.
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spelling doaj.art-f86c33cc40dd4995b91a3786acd1c7b02022-12-21T22:42:04ZengMDPI AGAerospace2226-43102020-03-01733010.3390/aerospace7030030aerospace7030030Aircraft Mode S Transponder Fingerprinting for Intrusion DetectionMauro Leonardi0Fabrizio Gerardi1Department of Electronic Engineering, University of Rome Tor Vergata, Via del politecnico 1, 00133 Rome, ItalyDepartment of Electronic Engineering, University of Rome Tor Vergata, Via del politecnico 1, 00133 Rome, ItalyNowadays, aircraft safety is based on different systems and four of them share the same data-link protocol: Secondary Surveillance Radar, Automatic Dependent Surveillance System, Traffic Collision Avoidance System, and Traffic Information System use the Mode S protocol to send and receive information. This protocol does not provide any kind of authentication, making some of these applications vulnerable to cyberattacks. In this paper, an intrusion detection mechanism based on transmitter Radio Frequency (RF) fingerprinting is proposed to distinguish between legitimate messages and fake ones. The proposed transmitter signature is described and an intrusion detection algorithm is developed and evaluated in case of different intrusion configurations, also with the use of real recorded data. The results show that it is possible to detect the presence of fake messages with a high probability of detection and very low probability of false alarm.https://www.mdpi.com/2226-4310/7/3/30ssrradarads-bfingerprintingatcsafetysecurityintrusion detection
spellingShingle Mauro Leonardi
Fabrizio Gerardi
Aircraft Mode S Transponder Fingerprinting for Intrusion Detection
Aerospace
ssr
radar
ads-b
fingerprinting
atc
safety
security
intrusion detection
title Aircraft Mode S Transponder Fingerprinting for Intrusion Detection
title_full Aircraft Mode S Transponder Fingerprinting for Intrusion Detection
title_fullStr Aircraft Mode S Transponder Fingerprinting for Intrusion Detection
title_full_unstemmed Aircraft Mode S Transponder Fingerprinting for Intrusion Detection
title_short Aircraft Mode S Transponder Fingerprinting for Intrusion Detection
title_sort aircraft mode s transponder fingerprinting for intrusion detection
topic ssr
radar
ads-b
fingerprinting
atc
safety
security
intrusion detection
url https://www.mdpi.com/2226-4310/7/3/30
work_keys_str_mv AT mauroleonardi aircraftmodestransponderfingerprintingforintrusiondetection
AT fabriziogerardi aircraftmodestransponderfingerprintingforintrusiondetection