Biblio

Filters: Author is Park, Yongtae  [Clear All Filters]
2018-11-28
Kuk, Seungho, Kim, Hyogon, Park, Yongtae.  2017.  Detecting False Position Attack in Vehicular Communications Using Angular Check. Proceedings of the 2Nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services. :25–29.

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.