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 language | English |
|---|---|
| Title of host publication | CarSys 2017 - Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, co-located with MobiCom 2017 |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 25-29 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450351461 |
| DOIs | |
| Publication status | Published - 2017 Oct 16 |
| Event | 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, CarSys 2017 - Snowbird, United States Duration: 2017 Oct 20 → … |
Other
| Other | 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, CarSys 2017 |
|---|---|
| Country | United States |
| City | Snowbird |
| Period | 17/10/20 → … |
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Keywords
- Position plausibility
- Safety
- Vehicle-to-vehicle
ASJC Scopus subject areas
- Automotive Engineering
- Human-Computer Interaction
- Artificial Intelligence
Cite this
Detecting false position attack in vehicular communications using angular check. / Kuk, Seungho; Kim, Hyogon; Park, Yongtae.
CarSys 2017 - Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, co-located with MobiCom 2017. Association for Computing Machinery, Inc, 2017. p. 25-29.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detecting false position attack in vehicular communications using angular check
AU - Kuk, Seungho
AU - Kim, Hyogon
AU - Park, Yongtae
PY - 2017/10/16
Y1 - 2017/10/16
N2 - 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.
AB - 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.
KW - Position plausibility
KW - Safety
KW - Vehicle-to-vehicle
UR - http://www.scopus.com/inward/record.url?scp=85039987576&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039987576&partnerID=8YFLogxK
U2 - 10.1145/3131944.3131949
DO - 10.1145/3131944.3131949
M3 - Conference contribution
SP - 25
EP - 29
BT - CarSys 2017 - Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, co-located with MobiCom 2017
PB - Association for Computing Machinery, Inc
ER -