Abstract
With passenger and cargo traffic growing rapidly world-wide, and unmanned aerial vehicles (UAV) poised to enter commercial airspaces, a secure next generation of air traffic management systems is required. Recent articles in the academic and hacker community highlight crucial security challenges faced by integral parts of these next generation protocols, with the most dangerous attacks based on classic message injection. In this article, we analyze the possibility and effectiveness of detecting such attacks on critical air traffic infrastructures with a single receiver based on physical layer information. Using hypothesis testing and anomaly detection schemes, we develop an intrusion detection system (IDS) that can accurately detect attackers within 40 s.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
References
Cardenas, A.A., Amin, S., Lin, Z.S., Huang, Y.L., Huang, C.Y., Sastry, S.: Attacks against process control systems: risk assessment, detection, and response. In: Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security, pp. 355–366. ACM (2011)
Chen, Y., Xu, W., Trappe, W., Zhang, Y.: Attack detection in wireless localization. In: Chen, Y., Xu, W., Trappe, W., Zhang, Y. (eds.) Securing Emerging Wireless Systems, pp. 1–22. Springer, USA (2009)
Clayton, M.: Malaysia airlines flight MH370: are planes vulnerable to cyber-attack? Christian Science Monitor, March 2014
Costin, A., Francillon, A.: Ghost in the air (Traffic): on insecurity of ADS-B protocol and practical attacks on ADS-B devices. In: Black Hat. USA (2012)
ICAO: Guidance Material on Comparison of Surveillance Technologies (GMST). Technical report, September 2007
Kunkel, R.: Air traffic control insecurity 2.0. In: DefCon 18 (2010)
McCallie, D., Butts, J., Mills, R.: Security analysis of the ADS-B implementation in the next generation air transportation system. Int. J. Crit. Infrastruct. Prot. 4(2), 78–87 (2011)
Moran, N., De Vynck, G.: Westjet hijack signal called false alarm. Bloomberg, January 2015
RTCA Inc.: Minimum Operational Performance Standards for 1090 MHz Extended Squitter Automatic Dependent Surveillance - Broadcast (ADS-B) and Traffic Information Services - Broadcast (TIS-B). DO-260B with Corrig. 1 (2011)
Schäfer, M., Lenders, V., Martinovic, I.: Experimental analysis of attacks on next generation air traffic communication. In: Jacobson, M., Locasto, M., Mohassel, P., Safavi-Naini, R. (eds.) ACNS 2013. LNCS, vol. 7954, pp. 253–271. Springer, Heidelberg (2013)
Schäfer, M., Strohmeier, M., Lenders, V., Martinovic, I., Wilhelm, M.: Bringing up opensky: a large-scale ADS-B sensor network for research. In: ACM/IEEE International Conference on Information Processing in Sensor Networks (2014)
Sheng, Y., Tan, K., Chen, G., Kotz, D., Campbell, A.: Detecting 802.11 MAC layer spoofing using received signal strength. In: The 27th Conference on Computer Communications. INFOCOM 2008. IEEE (2008)
Strohmeier, M., Lenders, V., Martinovic, I.: On the security of the automatic dependent surveillance-broadcast protocol. Communications Surveys Tutorials PP(99). IEEE (2014)
Strohmeier, M., Schäfer, M., Lenders, V., Martinovic, I.: Realities and challenges of nextgen air traffic management: the case of ADS-B. Commun. Mag. 52(5), 111–118 (2014)
Zetter, K.: Air traffic controllers pick the wrong week to quit using radar. In: Wired, July 2012
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Strohmeier, M., Lenders, V., Martinovic, I. (2015). Intrusion Detection for Airborne Communication Using PHY-Layer Information. In: Almgren, M., Gulisano, V., Maggi, F. (eds) Detection of Intrusions and Malware, and Vulnerability Assessment. DIMVA 2015. Lecture Notes in Computer Science(), vol 9148. Springer, Cham. https://doi.org/10.1007/978-3-319-20550-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-20550-2_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20549-6
Online ISBN: 978-3-319-20550-2
eBook Packages: Computer ScienceComputer Science (R0)