Project 41: Method of Detecting and Defending Network Attacks in the Internet of Vehicles

Contact Information:

Prof. Yue Wu

Prof. Xiuzhen CHEN

Project Description and Objectives:

With the increasing types and numbers of onboard terminals in intelligent and connected vehicle networks, security threats which the Internet of Vehicles (IoV) faces are also increasing. The information security of intelligent and connected vehicle networks has increasingly attracted attention all over the world. This project focuses on the detection and defense of common network attacks in the Internet of Vehicles, especially Sybil attacks. As a major type of attack in the Internet of Vehicles environment, Sybil attacks cause confusion and obstruction of road information by simulating the operating characteristics of normal vehicles, which brings huge challenges to the safe driving of vehicles. The main goal is to propose a detection method based on trust management system. In addition, a series of validity tests of the proposed approach will be done through simulation experiments under Veins and in the road test scenario.

Eligibility Requirements:

Have professional knowledge of Computer, Communication, and Information Security;

Good working attitude and self-learning ability;

Good team spirit.

Main Tasks:

Review literature on Sybil detection algorithms in the IoV environment.

Design a trust-based detection model for detecting Sybil attacks.

Perform the work model test both in the simulation environment and in the real road test scenario.

Website:

Lab: http://nelcat.sjtu.edu.cn/

School: http://infosec.sjtu.edu.cn