Enhancing Security in VANETs with Sybil Attack Detection using Fog Computing

Anirudh Paranjothi; Mohammad S. Khan

doi:10.1109/VTC2023-Fall60731.2023.10333491

Enhancing Security in VANETs with Sybil Attack Detection using Fog Computing

Anirudh Paranjothi
, Mohammad S. Khan

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350329285
DOIs	https://doi.org/10.1109/VTC2023-Fall60731.2023.10333491
State	Published - 2023
Event	98th IEEE Vehicular Technology Conference, VTC 2023-Fall - Hong Kong, China Duration: Oct 10 2023 → Oct 13 2023

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	98th IEEE Vehicular Technology Conference, VTC 2023-Fall
Country/Territory	China
City	Hong Kong
Period	10/10/23 → 10/13/23

ASJC Scopus Subject Areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Fog computing
Rogue nodes
Sybil attack

Access to Document

10.1109/VTC2023-Fall60731.2023.10333491

Cite this

Enhancing Security in VANETs with Sybil Attack Detection using Fog Computing. / Paranjothi, Anirudh; Khan, Mohammad S.
2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Paranjothi, A & Khan, MS 2023, Enhancing Security in VANETs with Sybil Attack Detection using Fog Computing. in 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers Inc., 98th IEEE Vehicular Technology Conference, VTC 2023-Fall, Hong Kong, China, 10/10/23. https://doi.org/10.1109/VTC2023-Fall60731.2023.10333491

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keywords = "Fog computing, Rogue nodes, Sybil attack",

author = "Anirudh Paranjothi and Khan, \{Mohammad S.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 98th IEEE Vehicular Technology Conference, VTC 2023-Fall ; Conference date: 10-10-2023 Through 13-10-2023",

year = "2023",

doi = "10.1109/VTC2023-Fall60731.2023.10333491",

language = "English",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Khan, Mohammad S.

PY - 2023

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KW - Fog computing

KW - Rogue nodes

KW - Sybil attack

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U2 - 10.1109/VTC2023-Fall60731.2023.10333491

DO - 10.1109/VTC2023-Fall60731.2023.10333491

M3 - Conference contribution

AN - SCOPUS:85181166299

T3 - IEEE Vehicular Technology Conference

BT - 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 98th IEEE Vehicular Technology Conference, VTC 2023-Fall

Y2 - 10 October 2023 through 13 October 2023

ER -

Enhancing Security in VANETs with Sybil Attack Detection using Fog Computing

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this