Date of Award

Fall 12-2021

Degree Type

Masters Thesis

Degree Name

Master of Science (MS)

School

Computing Sciences and Computer Engineering

Committee Chair

Amer Dawoud

Committee Chair School

Computing Sciences and Computer Engineering

Committee Member 2

Ahmed Shreif

Committee Member 2 School

Computing Sciences and Computer Engineering

Committee Member 3

Ramakalavathi Marapareddy

Committee Member 3 School

Computing Sciences and Computer Engineering

Abstract

Drones are becoming increasingly present into today’s society through many different means such as outdoor sports, surveillance, delivery of goods etc. With such a rapid increase, a means of control and monitoring is needed as the drones become more interconnected and readily available. Thus, the idea of Internet of drones (IoD) is formed, an infrastructure in place to do those types of things. However, without an authentication system in place anyone could gain access or control to real time data to multiple drones within an area. This is a problem that I choose to tackle using a Field Programmable Gate Array (FPGA) that accelerates the k-Nearest Neighbor (kNN) encryption algorithm making it a hardware component. This will allow me to synthesis and implement the three parts of my privacy-aware and hardware-based authentication scheme for internet of drones. I use Vivado and Vivado HLS to obtain results for my authentication scheme. My scheme was able to perform large computational expensive tasks faster than other proposed IoD schemes.

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