TY - GEN
T1 - Towards Security-Optimized Placement of ADS-B Sensors
AU - Darabseh, Ala'
AU - Pöpper, Christina
N1 - Funding Information:
This work is supported by the Center for Cyber Security at New York University Abu Dhabi (NYUAD). The authors gratefully acknowledge support of and interaction with armasuisse Science & Technology. We would like to thank the OpenSky Network for support, specifically Martin Strohmeier for his collaboration and feedback at the early stages of this work.
Publisher Copyright:
© 2022 ACM.
PY - 2022/5/16
Y1 - 2022/5/16
N2 - Automatic Dependent Surveillance Broadcast (ADS-B) sensors deployed on the ground are central to observing aerial movements of aircraft. Their unsystematic placement, however, results in over-densification of sensor coverage in some areas and insufficient sensor coverage in other areas. ADS-B sensor coverage has so far been recognized and analyzed as an availability problem; it was tackled by sensor placement optimization techniques that aim for covering large enough areas. In this paper, we demonstrate that the unsystematic placement of ADS-B sensors leads to a security problem, since the realization and possible deployment of protective mechanisms is closely linked to aspects of redundancy in ADS-B sensor coverage. In particular, we model ADS-B sensor coverage as a multi-dimensional security problem. We then use multi-objective optimization techniques to tackle this problem and derive security-optimized near-optimal placement solutions. Our results show how the location of sensors play a significant role in reducing the success rate of attackers by providing a sufficient number of sensors within a specific geographical area to verify location claims and reducing the exposure to jamming attacks.
AB - Automatic Dependent Surveillance Broadcast (ADS-B) sensors deployed on the ground are central to observing aerial movements of aircraft. Their unsystematic placement, however, results in over-densification of sensor coverage in some areas and insufficient sensor coverage in other areas. ADS-B sensor coverage has so far been recognized and analyzed as an availability problem; it was tackled by sensor placement optimization techniques that aim for covering large enough areas. In this paper, we demonstrate that the unsystematic placement of ADS-B sensors leads to a security problem, since the realization and possible deployment of protective mechanisms is closely linked to aspects of redundancy in ADS-B sensor coverage. In particular, we model ADS-B sensor coverage as a multi-dimensional security problem. We then use multi-objective optimization techniques to tackle this problem and derive security-optimized near-optimal placement solutions. Our results show how the location of sensors play a significant role in reducing the success rate of attackers by providing a sufficient number of sensors within a specific geographical area to verify location claims and reducing the exposure to jamming attacks.
KW - %multi-objective functions
KW - ads-b
KW - gdop
KW - jamming
KW - mlat
KW - sensor placement
KW - spoofing
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U2 - 10.1145/3507657.3528557
DO - 10.1145/3507657.3528557
M3 - Conference contribution
AN - SCOPUS:85130795209
T3 - WiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks
SP - 39
EP - 44
BT - WiSec 2022 - Proceedings of the 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks
PB - Association for Computing Machinery, Inc
T2 - 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2022
Y2 - 16 May 2022 through 19 May 2022
ER -