A Sybil Attack Detection Scheme based on ADAS Sensors for Vehicular Networks

Kiho Lim, Tariqul Islam, Hyunbum Kim, Jingon Joung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Vehicular Ad Hoc Network (VANET) is a promising technology for autonomous driving as it provides many benefits and user conveniences to improve road safety and driving comfort. Sybil attack is one of the most serious threats in vehicular communications because attackers can generate multiple forged identities to disseminate false messages to disrupt safety-related services or misuse the systems. To address this issue, we propose a Sybil attack detection scheme using ADAS (Advanced Driving Assistant System) sensors installed on modern passenger vehicles, without the assistance of trusted third party authorities or infrastructure. Also, a deep learning based object detection technique is used to accurately identify nearby objects for Sybil attack detection and the multi-step verification process minimizes the false positive of the detection.

Original languageEnglish (US)
Title of host publication2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138930
DOIs
StatePublished - Jan 2020
Externally publishedYes
Event17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 - Las Vegas, United States
Duration: Jan 10 2020Jan 13 2020

Publication series

Name2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020

Conference

Conference17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
Country/TerritoryUnited States
CityLas Vegas
Period1/10/201/13/20

Keywords

  • ADAS sensors
  • V2V
  • VANET
  • sybil attack

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Communication

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