The UTC Graduate School is pleased to announce that Ahmed Mohamed will present Master's research titled, Phantom Jam Sybil Attack in Connected Vehicular Networks on 10/16/2024 at 10 Am in ECS 313-G. Everyone is invited to attend. 

Computer Science

Chair: Dr. Mengjun Xie

Co-Chair: 

Abstract:

Vehicular Ad-hoc Networks (VANETs) are vulnerable to Sybil attacks, in part due to the dynamic nature of Basic Safety Messages (BSMs) and 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 multiple ghost vehicles, creating scenarios like fake traffic jams and inducing road disturbance and sudden movements in other vehicles. In this work, we have developed the first sophisticated sybil attack, Phantom Jam 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. We have tested the attack using a mainstream simulation framework. Our experimental results demonstrate that the proposed attack is evasive to the state-of-the-art misbehavior detection systems