Abstract
Due to the frequent unauthorized invasions by commercial drones to Critical Infrastructures (CIs), the US-based Federal Avionics Administration (FAA) recently published a new specification, namely RemoteID. Such a rule requires all drones to broadcast information about their identity and location, to allow for immediate invasion attribution and counter-actions. However, the enforcement of such a rule poses severe concerns on drones' operators, especially in terms of location privacy and tracking threats. Indeed, by simply receiving wireless signals, an adversary could know the precise drone location, track it, and infer sensitive information. In this paper, we demonstrate that CI operators can detect timely and efficiently drones invading no-fly zones, without sacrificing drones location privacy. Specifically, we provide two major contributions. First, we propose DiPrID, the first RemoteID-compliant solution enhancing drones location privacy via Differential Privacy. Second, we introduce and evaluate ICARUS, an effective area invasion detection technique capable of identifying invasions by unauthorized drones, even when equipped with DiPrID, with remarkable accuracy and negligible detection delays. Our experiments showed that when drones obfuscate their location by an average distance as large as 31.914 km, ICARUS can detect up to 94.2% of invasions, while false-positives can be mitigated through the help of the FAA.
Original language | English |
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Title of host publication | Proceedings of the 17th International Conference on Availability, Reliability and Security, ARES 2022 |
Publisher | Association for Computing Machinery, Inc |
ISBN (Electronic) | 9781450396707 |
DOIs | |
Publication status | Published - 23 Aug 2022 |
Event | 17th International Conference on Availability, Reliability and Security, ARES 2022 - Vienna, Austria Duration: 23 Aug 2022 → 26 Aug 2022 |
Publication series
Name | ACM International Conference Proceeding Series |
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Conference
Conference | 17th International Conference on Availability, Reliability and Security, ARES 2022 |
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Country/Territory | Austria |
City | Vienna |
Period | 23/08/22 → 26/08/22 |
Bibliographical note
Funding Information:This work has been partially supported by the INTERSCT project, Grant No. NWA.1162.18.301, funded by Netherlands Organisation for Scientific Research (NWO). The findings reported herein are solely responsibility of the authors.
Publisher Copyright:
© 2022 ACM.
Funding
This work has been partially supported by the INTERSCT project, Grant No. NWA.1162.18.301, funded by Netherlands Organisation for Scientific Research (NWO). The findings reported herein are solely responsibility of the authors.
Keywords
- Critical Infrastructure Safety and Security
- Intrusion Detection.
- Location Privacy
- RemoteID
- Unmanned Aerial Vehicles