Sybil Detection in Connected Vehicle Systems via Angle-of-Arrival Estimation-Reference-Cited by-同舟云学术

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Sybil Detection in Connected Vehicle Systems via Angle-of-Arrival Estimation

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)
language:
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Author:

Ma Tianye¹,Hu Yidan²,Aseeri Aisha³,Nejad Mark⁴,Zhang Rui¹

Affiliation:

1. University of Delaware,Department of Computer and Information Sciences,Newark,DE,USA,19716

2. Rochester Institute of Technology,Department of Computing Security,Rochester,NY,USA,14623

3. King Abdulaziz University,Department of Computing Security,Jeddah,Saudi Arabia

4. University of Delaware,Department of Civil and Environmental Engineering,Newark,DE,USA,19716

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10210727/10210735/10211048.pdf?arnumber=10211048

Reference31 articles.

1. INTERLOC: An interference-aware RSSI-based localization and sybil attack detection mechanism for vehicular ad hoc networks

2. Sybil nodes detection based on received signal strength variations within vanet;bouassida;Int J Netw Secur,2009

3. Multi-Channel Based Sybil Attack Detection in Vehicular Ad Hoc Networks Using RSSI

4. RSS-based Sybil attack detection in VANETs;grover;Proceedings of the International Conference TENCON 2010,2010

5. The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

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