Date of Award

5-2022

Degree Type

Honors College Thesis

Academic Program

Computer Engineering BS

Department

Computing

First Advisor

Ahmed Sherif, Ph.D.

Second Advisor

Sarah Lee, Ph.D.

Third Advisor

Ellen Weinauer, Ph.D.

Advisor Department

Computing

Abstract

Autonomous Vehicles (AV) are a prime example of how innovation and automation are at the forefront of growing technology trends. The concern of parking systems is becoming apparent as research into ways to increase the efficiency and cost-effectiveness of AV continues. To ward against various internet attackers and secure users' sensitive information, an efficient AV parking system must have powerful user privacy and cyber security capabilities. In my work, I present a blockchain-based privacy registration system for AV parking systems that meets the following criteria. The proposed scheme incorporates k-Nearest Neighbor (kNN) - an efficient and lightweight algorithm - for encrypting and matching available parking slots of participating AV parking lots with the parking spaces of interest to AV users using vector matrices. Additionally, the incorporated blockchain eliminates the need for financial third parties and ensures secure payment fairness and transparency between the AV and parking lot. The proposed approach is also shown to be robust and efficient, according to our security and privacy analysis.

Keywords: Blockchain, Parking Reservation, Autonomous Vehicles (AV), k-Nearest Neighbor (kNN), Parking Cloud Server (PCS)

Download

Share

COinS