PRIVACY-AWARE AND HARDWARE-BASED ACCLERATION AUTHENTICATION SCHEME FOR INTERNET OF DRONES

<p>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.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Masters Thesis

Year dc:date.available

2021

Author dc:creator

• Henson, Tom

Contributors dc:contributor

• Amer Dawoud
• Ahmed Shreif
• Ramakalavathi Marapareddy

• Iod
• kNN
• Computer Sciences

Repository record dc:identifier

https://aquila.usm.edu/masters_theses/867

OAI identifier oai:identifier

oai:aquila.usm.edu:masters_theses-1930