TY - GEN
T1 - COLAW
T2 - 2020 International Conference on Omni-layer Intelligent Systems, COINS 2020
AU - Barabas, Philippos
AU - Regnath, Emanuel
AU - Steinhorst, Sebastian
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Vehicular applications heavily rely on location information to improve road safety and efficiency as well as to provide a personalized driving experience through a variety of location-based services. To determine their position, vehicles depend on different technologies like GPS, which might be unreliable or vulnerable to interference or spoofing. In the safety-critical vehicular world, a secure mechanism must be in place which guarantees the accuracy and trustworthiness of location information to the service that requires it. In this work we propose COLAW, a COoperative Location proof Architecture based on Witnessing that leverages the distributed nature of vehicular ad-hoc networks to create verifiable and secure location proofs. The evaluation of COLAW shows that it is possible for a group of neighboring vehicles to generate secure location proofs for each other with a significantly lower message overhead than previously proposed approaches and that the protocol's performance can be further improved, by taking certain environmental parameters and road conditions into consideration.
AB - Vehicular applications heavily rely on location information to improve road safety and efficiency as well as to provide a personalized driving experience through a variety of location-based services. To determine their position, vehicles depend on different technologies like GPS, which might be unreliable or vulnerable to interference or spoofing. In the safety-critical vehicular world, a secure mechanism must be in place which guarantees the accuracy and trustworthiness of location information to the service that requires it. In this work we propose COLAW, a COoperative Location proof Architecture based on Witnessing that leverages the distributed nature of vehicular ad-hoc networks to create verifiable and secure location proofs. The evaluation of COLAW shows that it is possible for a group of neighboring vehicles to generate secure location proofs for each other with a significantly lower message overhead than previously proposed approaches and that the protocol's performance can be further improved, by taking certain environmental parameters and road conditions into consideration.
KW - Cooperative Driving
KW - Intelligent Transport
KW - Location Proofs
KW - VANET
UR - http://www.scopus.com/inward/record.url?scp=85092253046&partnerID=8YFLogxK
U2 - 10.1109/COINS49042.2020.9191402
DO - 10.1109/COINS49042.2020.9191402
M3 - Conference contribution
AN - SCOPUS:85092253046
T3 - 2020 International Conference on Omni-Layer Intelligent Systems, COINS 2020
BT - 2020 International Conference on Omni-Layer Intelligent Systems, COINS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 31 August 2020 through 2 September 2020
ER -