A traffic flow theory aided physical measurement-based Sybil nodes detection mechanism in vehicular ad-hoc networks

Dongxu Jin; Joo Seok Song

doi:10.2991/ijndc.2015.3.2.1

A traffic flow theory aided physical measurement-based Sybil nodes detection mechanism in vehicular ad-hoc networks

Dongxu Jin, Joo Seok Song

College of Computing

Research output: Contribution to journal › Article › peer-review

Abstract

In Vehicular Ad-hoc Networks, security is a important issue. In the past years, several approaches have been proposed for solving Sybil attack. In this paper a novel scheme to detect the Sybil nodes is presented. The proposed scheme utilizes unmodifiable physical measurements of beacon messages. To increase the detection accuracy, traffic flow theory and safety guard distance is introduced in. The simulation results show 97% detection rate of Sybil nodes, with only about 2% error rate and low overhead.

Original language	English
Pages (from-to)	69-78
Number of pages	10
Journal	International Journal of Networked and Distributed Computing
Volume	3
Issue number	2
DOIs	https://doi.org/10.2991/ijndc.2015.3.2.1
Publication status	Published - 2015 Apr

Bibliographical note

Funding Information:
JooSeok Song is the corresponding author. This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(2012R1A1B3004161).

All Science Journal Classification (ASJC) codes

Computer Science Applications
Computer Networks and Communications

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10.2991/ijndc.2015.3.2.1

Cite this

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title = "A traffic flow theory aided physical measurement-based Sybil nodes detection mechanism in vehicular ad-hoc networks",

abstract = "In Vehicular Ad-hoc Networks, security is a important issue. In the past years, several approaches have been proposed for solving Sybil attack. In this paper a novel scheme to detect the Sybil nodes is presented. The proposed scheme utilizes unmodifiable physical measurements of beacon messages. To increase the detection accuracy, traffic flow theory and safety guard distance is introduced in. The simulation results show 97% detection rate of Sybil nodes, with only about 2% error rate and low overhead.",

author = "Dongxu Jin and Song, {Joo Seok}",

note = "Funding Information: JooSeok Song is the corresponding author. This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(2012R1A1B3004161).",

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AB - In Vehicular Ad-hoc Networks, security is a important issue. In the past years, several approaches have been proposed for solving Sybil attack. In this paper a novel scheme to detect the Sybil nodes is presented. The proposed scheme utilizes unmodifiable physical measurements of beacon messages. To increase the detection accuracy, traffic flow theory and safety guard distance is introduced in. The simulation results show 97% detection rate of Sybil nodes, with only about 2% error rate and low overhead.

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A traffic flow theory aided physical measurement-based Sybil nodes detection mechanism in vehicular ad-hoc networks

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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