A taxonomy of secure data transmission techniques : preventing Sybil attacks in vehicular ad hoc networks

Manmeet Kaur; Farnaz Farid

doi:10.1007/978-3-031-33743-7_24

A taxonomy of secure data transmission techniques : preventing Sybil attacks in vehicular ad hoc networks

Manmeet Kaur, Farnaz Farid

Western Sydney University

Research output: Chapter in Book / Conference Paper › Chapter

2 Citations (Scopus)

Abstract

Vehicular Ad Hoc Network (VANET) aims to improve traffic safety by preventing road accidents. However, like any other wireless network, these networks are vulnerable to attacks. Sybil attack is one such severe attack that injects many fake identities into the network to disrupt vehicle communications. This attack has received a lot of attention from the scientific community due to the significant threats it poses. However, not enough works explicitly focus on secure vehicular data packet transmission techniques to detect and prevent this attack. This work aims to fulfil that gap by analyzing proposed secure vehicular data packet transmission solutions in the existing literature to prevent Sybil attacks. Based on the summarized papers, a detailed taxonomy for maintaining the data security of vehicles involved in VANET to prevent Sybil attacks is designed to facilitate future research directions.

Original language	English
Title of host publication	Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23)
Editors	Kevin Daimi, Abeer Al Sadoon
Place of Publication	Switzerland
Publisher	Springer
Pages	283-293
Number of pages	11
ISBN (Electronic)	9783031337437
ISBN (Print)	9783031337420
DOIs	https://doi.org/10.1007/978-3-031-33743-7_24
Publication status	Published - 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	700 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Ad-hoc network
Encryption
Machine learning
Multipath
Protocol
Routing
Security
VANET
Vehicular network

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-33743-7_24

Cite this

Kaur, M., & Farid, F. (2023). A taxonomy of secure data transmission techniques : preventing Sybil attacks in vehicular ad hoc networks. In K. Daimi, & A. Al Sadoon (Eds.), Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23) (pp. 283-293). (Lecture Notes in Networks and Systems; Vol. 700 LNNS). Springer. https://doi.org/10.1007/978-3-031-33743-7_24

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abstract = "Vehicular Ad Hoc Network (VANET) aims to improve traffic safety by preventing road accidents. However, like any other wireless network, these networks are vulnerable to attacks. Sybil attack is one such severe attack that injects many fake identities into the network to disrupt vehicle communications. This attack has received a lot of attention from the scientific community due to the significant threats it poses. However, not enough works explicitly focus on secure vehicular data packet transmission techniques to detect and prevent this attack. This work aims to fulfil that gap by analyzing proposed secure vehicular data packet transmission solutions in the existing literature to prevent Sybil attacks. Based on the summarized papers, a detailed taxonomy for maintaining the data security of vehicles involved in VANET to prevent Sybil attacks is designed to facilitate future research directions.",

keywords = "Ad-hoc network, Encryption, Machine learning, Multipath, Protocol, Routing, Security, VANET, Vehicular network",

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Kaur, M & Farid, F 2023, A taxonomy of secure data transmission techniques : preventing Sybil attacks in vehicular ad hoc networks. in K Daimi & A Al Sadoon (eds), Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). Lecture Notes in Networks and Systems, vol. 700 LNNS, Springer, Switzerland, pp. 283-293. https://doi.org/10.1007/978-3-031-33743-7_24

A taxonomy of secure data transmission techniques : preventing Sybil attacks in vehicular ad hoc networks. / Kaur, Manmeet; Farid, Farnaz.
Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). ed. / Kevin Daimi; Abeer Al Sadoon. Switzerland: Springer, 2023. p. 283-293 (Lecture Notes in Networks and Systems; Vol. 700 LNNS).

Research output: Chapter in Book / Conference Paper › Chapter

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KW - Encryption

KW - Machine learning

KW - Multipath

KW - Protocol

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KW - VANET

KW - Vehicular network

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BT - Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23)

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ER -

A taxonomy of secure data transmission techniques : preventing Sybil attacks in vehicular ad hoc networks

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this