Committee Chair

Xie, Mengjun

Committee Member

Liang, Yu; Sakib, Shahnewaz Karim

Department

Dept. of Computer Science and Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Vehicular Ad-hoc Networks (VANETs) are vulnerable to Sybil attacks, mostly due to the lack of encryption in BSMs. In VANETs, multiple digital certificates (pseudonyms) are assigned to each vehicle to ensure their privacy. However, malicious nodes can exploit these pseudonyms to create ghost vehicles, inducing fake traffic jams and disturbance to other vehicles which may lead to accidents. In this work, we have developed the first sophisticated sybil attack, in which an attacker uses legitimate pseudonyms to create multiple ghost vehicles. These ghost vehicles transmit realistic kinematic data, using trajectory formulas and road maps. Additionally, the ghost vehicles randomly simulate sudden brakes before acceleration to cause sudden reactions from surrounding vehicles, potentially leading to collisions. The attack was tested using a mainstream simulation framework. Our experimental results demonstrate that the proposed attack is evasive to the state-of-the-art misbehavior detection systems.

Acknowledgments

This work was supported in part by the National Science Foundation (awards 1663105 and 2234910).

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

12-2024

Subject

Anomaly detection (Computer security); Vehicular ad hoc networks (Computer networks)--Security measures

Keyword

Phantom Jam Sybil Attack; VANET Security; Misbehavior Detection Systems; Basic Safety Messages (BSM); Vehicular Ad Hoc Networks (VANET); Cybersecurity

Discipline

Cybersecurity

Document Type

Masters theses

DCMI Type

Text

Extent

x, 56 leaves

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by-nc-sa/4.0/

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Cybersecurity Commons

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