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Intrusion detection for airborne communication using PHY-layer information

Abstract:
With passenger and cargo traffic growing rapidly worldwide, 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-20550-2_4

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Department:
Unknown
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Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author

Contributors

Role:
Editor
Role:
Editor
Role:
Editor


Publisher:
Springer, Cham
Host title:
DIMVA 2015: Detection of Intrusions and Malware, and Vulnerability Assessment
Journal:
DIMVA 2015: Detection of Intrusions and Malware, and Vulnerability Assessment More from this journal
Pages:
67-77
Series:
Lecture Notes in Computer Science
Publication date:
2015-06-23
DOI:
ISSN:
1611-3349 and 0302-9743
ISBN:
9783319205496


Keywords:
Pubs id:
pubs:576197
UUID:
uuid:938dc003-5cbb-499a-9d02-21163fb9a31c
Local pid:
pubs:576197
Deposit date:
2016-10-12

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