Detecting false position attack in vehicular communications using angular check

Seungho Kuk, Hyogon Kim, Yongtae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With Wireless Access in Vehicular Environment (WAVE) finalized for legal enforcement from 2020 after the recent move by the U.S. Government, data plausibility is still an unresolved security issue. In particular, an attacker may forge false position values in safety beacons in order to cause unsafe response from startled receiving vehicles. The data plausibility is a longstanding issue for which various approaches based on sensor fusion, behavior analysis and communication constraints have been proposed, but none of these completely solve the problem. This paper proposes an angle of arrival (AoA) based method to invalidate position forging adversaries such as roadside attackers. Built entirely on the WAVE framework, it can be used even when the traditional sensor fusion-based or behavior-based check is inapplicable. The proposed approach is a completely passive scheme that does not require more than an additional antenna that is strongly recommended for performance anyway.

Original languageEnglish
Title of host publicationCarSys 2017 - Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, co-located with MobiCom 2017
PublisherAssociation for Computing Machinery, Inc
Pages25-29
Number of pages5
ISBN (Electronic)9781450351461
DOIs
Publication statusPublished - 2017 Oct 16
Event2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, CarSys 2017 - Snowbird, United States
Duration: 2017 Oct 20 → …

Other

Other2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, CarSys 2017
CountryUnited States
CitySnowbird
Period17/10/20 → …

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Keywords

  • Position plausibility
  • Safety
  • Vehicle-to-vehicle

ASJC Scopus subject areas

  • Automotive Engineering
  • Human-Computer Interaction
  • Artificial Intelligence

Cite this

Kuk, S., Kim, H., & Park, Y. (2017). Detecting false position attack in vehicular communications using angular check. In CarSys 2017 - Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, co-located with MobiCom 2017 (pp. 25-29). Association for Computing Machinery, Inc. https://doi.org/10.1145/3131944.3131949