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Guardian Positioning System (GPS) for Location Based Services
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Programvaruteknik och datorsystem, SCS.ORCID-id: 0000-0002-9064-0604
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Nätverk och systemteknik. KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Kommunikationssystem, CoS. KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Programvaruteknik och datorsystem, SCS.ORCID-id: 0000-0002-3267-5374
2025 (engelsk)Inngår i: WiSec 2025 - Proceedings of the 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks, Association for Computing Machinery (ACM) , 2025, s. 88-99Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Location-based service (LBS) applications proliferate and support transportation, entertainment, and more. Modern mobile platforms, with smartphones being a prominent example, rely on terrestrial and satellite infrastructures (e.g., global navigation satellite system (GNSS) and crowdsourced Wi-Fi, Bluetooth, cellular, and IP databases) for correct positioning. However, they are vulnerable to attacks that manipulate positions to control and undermine LBS functionality-Thus enabling the scamming of users or services. Our work reveals that GNSS spoofing attacks succeed even though smartphones have multiple sources of positioning information. Moreover, that Wi-Fi spoofing attacks with GNSS jamming are surprisingly effective. More concerning is the evidence that sophisticated, coordinated spoofing attacks are highly effective. Attacks can target GNSS in combination with other positioning methods, thus defenses that assume that only GNSS is under attack cannot be effective. More so, resilient GNSS receivers and special-purpose antennas are not feasible on smartphones. To address this gap, we propose an extended receiver autonomous integrity monitoring (RAIM) framework that leverages the readily available, redundant, often so-called opportunistic positioning information on off-The-shelf platforms. We jointly use onboard sensors, terrestrial infrastructures, and GNSS. We show that our extended RAIM framework improves resilience against location spoofing, e.g., achieving a detection accuracy improvement of up to 24-58% compared to the state-of-The-Art algorithms and location providers; detecting attacks within 5 seconds, with a low false positive rate.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM) , 2025. s. 88-99
Emneord [en]
geolocation apis, localization attacks, secure localization
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-369405DOI: 10.1145/3734477.3734707Scopus ID: 2-s2.0-105012088988OAI: oai:DiVA.org:kth-369405DiVA, id: diva2:1995297
Konferanse
18th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2025, Arlington, United States of America, Jun 30 2025 - Jul 3 2025
Merknad

Part of ISBN 9798400715303

QC 20250904

Tilgjengelig fra: 2025-09-04 Laget: 2025-09-04 Sist oppdatert: 2025-09-08bibliografisk kontrollert

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Liu, WenjiePapadimitratos, Panos

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Totalt: 42 treff
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