GPS spoofing detection via crowd-sourced information for connected vehicles

Oligeri, Gabriele; Sciancalepore, Savio; Ibrahim, Omar Adel; Pietro, Roberto Di

doi:10.1016/j.comnet.2022.109230

Cited by 9 publications

(3 citation statements)

References 33 publications

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“…Spread spectrum security code (e.g., [32]) System Navigation message authentication (e.g., [32,33]) L1/L2 power level comparison (e.g., [34,35]) L1/L2 power level code phase comparison (e.g., [34]) Hardware DOA monitoring (e.g., [36,37]) Synthetic antenna array (e.g., [38]) Signal strength monitoring (e.g., [17,39]) Doppler monitoring (e.g., [40,41]) Code and phase rates consistency check (e.g., [34]) TOA monitoring (e.g., [17,42]) PRN code and data bit latency (e.g., [43][44][45]) Auxiliary peak tracking APT (e.g., [18]) Signal quality monitoring (e.g., [46][47][48]) Firmware Distribution analysis of correlator output (e.g., [49,50]) C/N 0 Monitoring (CNM) (e.g., [34,39]) Physical Cross-Check (PCC) (e.g., [51][52][53][54]) Clock Drift Monitoring (CDM) (e.g., [8,18]) Ephemeris Data Validation (EDV) (e.g., [34,55]) Software Pairwise Distance Monitoring (PDM) (e.g., [7,56]) Notation: Effective ( ), semi-effective ( ), and ineffective ( ) GPS spoofing detection regarding individual attacker models defined in Section 3.2, cf. Figure 2.…”

Section: Spoofing Countermeasure Methodsmentioning

confidence: 99%

“…In this context, Oligeri et al [62] propose a GPS spoofing detection and localization approach that leverages the Public Land Mobile Network (PLMN) infrastructure of terrestrial mobile communication. In [54], the authors even extend their work to the use of WiFi networks and present a crowd-sourced approach. However, this promising work, which leverages the existence of existing land-based infrastructure, is not applicable at sea.…”

Section: Complementary Approachesmentioning

confidence: 99%

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Detecting Maritime GPS Spoofing Attacks Based on NMEA Sentence Integrity Monitoring

Spravil

Hemminghaus

Rechenberg

et al. 2023

JMSE

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Today’s maritime transportation relies on global navigation satellite systems (GNSSs) for accurate navigation. The high-precision GNSS receivers on board modern vessels are often considered trustworthy. However, due to technological advances and malicious activities, this assumption is no longer always true. Numerous incidents of tampered GNSS signals have been reported. Furthermore, researchers have demonstrated that manipulations can be carried out even with inexpensive hardware and little expert knowledge, lowering the barrier for malicious attacks with far-reaching consequences. Hence, exclusive trust in GNSS is misplaced, and methods for reliable detection are urgently needed. However, many of the proposed solutions require expensive replacement of existing hardware. In this paper, therefore, we present MAritime Nmea-based Anomaly detection (MANA), a novel low-cost framework for GPS spoofing detection. MANA monitors NMEA-0183 data and advantageously combines several software-based methods. Using simulations supported by real-world experiments that generate an extensive dataset, we investigate our approach and finally evaluate its effectiveness.

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Section: Spoofing Countermeasure Methodsmentioning

confidence: 99%

Section: Complementary Approachesmentioning

confidence: 99%

Detecting Maritime GPS Spoofing Attacks Based on NMEA Sentence Integrity Monitoring

Spravil

Hemminghaus

Rechenberg

et al. 2023

JMSE

View full text Add to dashboard Cite

show abstract

“…Misleading positioning information can result incorrect decisions by safety systems, leading to accidents or disruptions in traffic flow. As shown in Figure 12, the Spoofer generates fake GPS signals and transmit them to nearby vehicles, fooling their GPS receivers into calculating incorrect positions [174].…”

Section: Location Spoofingmentioning

confidence: 99%

Privacy and security issues surrounding vehicular Adhoc networks

Emmanuel Asituha

2023

World J. Adv. Res. Rev.

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Vehicular Ad-Hoc Networks (VANETs) is a type of mobile ad hoc network (MANET) specifically designed for communication among vehicles on the road. VANETs enable vehicles to communicate with each other and with roadside infrastructure, forming a dynamic and self-organizing network without the need for a fixed communication infrastructure. Security concerns in VANETs encompass a range of threats, including Authentication and Authorization attacks, Sybil attacks, Denial-of-Service incidents, Location spoofing, and Eavesdropping. Privacy, on the other hand, is a paramount concern in VANETs due to the sensitive nature of location-based data, Identity Disclosure, and user consent Control. The paper emphasizes the necessity for robust security mechanisms and outlines specific requirements for safeguarding VANETs. Proposed mitigation measures, including cryptographic techniques and authentication mechanisms, are critically assessed for their effectiveness and feasibility. The findings provide a comprehensive understanding of the complexities surrounding privacy and security in VANETs, contributing valuable insights for the development of resilient and privacy-preserving vehicular communication systems.

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