RSSI Sequence and Vehicle Driving Matrix Based Sybil Nodes Detection in VANET

Submitted by grigby1 on Mon, 03/02/2020 - 1:38pm

Title	RSSI Sequence and Vehicle Driving Matrix Based Sybil Nodes Detection in VANET
Publication Type	Conference Paper
Year of Publication	2019
Authors	Li, Wei, Zhang, Dongmei
Conference Name	2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)
Date Published	jun
ISBN Number	978-1-7281-2184-0
Keywords	composability, detection method, driving matrix, Metrics, neighbor nodes, Protocols, pubcrawl, reputation models, resilience, Resiliency, resource allocation, resource allocation mechanisms, RSSI sequence, serious damages, Sybil attack, sybil attacks, sybil nodes detection, telecommunication security, VANET, VANET infrastructure, vehicle driving matrix - RSDM, vehicular ad hoc networks
Abstract	In VANET, Sybil nodes generated by attackers cause serious damages to network protocols, resource allocation mechanisms, and reputation models. Other types of attacks can also be launched on the basis of Sybil attack, which bring more threats to VANET. To solve this problem, this paper proposes a Sybil nodes detection method based on RSSI sequence and vehicle driving matrix - RSDM. RSDM evaluates the difference between the RSSI sequence and the driving matrix by dynamic distance matching to detect Sybil nodes. Moreover, RSDM does not rely on VANET infrastructure, neighbor nodes or specific hardware. The experimental results show that RSDM performs well with a higher detection rate and a lower error rate.
URL	https://ieeexplore.ieee.org/document/8905261
DOI	10.1109/ICCSN.2019.8905261
Citation Key	li_rssi_2019

Groups:

Science of Security VO