Date of Award

12-2019

Document Type

Thesis

Department

Computer Science

First Advisor

Ahmed E. Khaled

Second Advisor

Graciela Perera

Abstract

The spaces around us are becoming equipped with devices and appliances that collect data from their surroundings and react accordingly to provide smarter networks where they are interconnected and able to communicate with one another. These smart networks of devices and appliances along with the applications that utilize them build smart spaces known as Internet of Things (IoT). With the on growing popularity of such smart devices (e.g., smart cars, watches, home-security systems) and IoT, the need for securing these environments increases. The smart devices around us can collect private and personal information, and the challenge lies in maintaining the confidentiality of the collected data and preventing unsecured actions—from tapping into surveillance cameras to tracking someone’s daily schedule. For example, digital health, devices that record personal data from blood pressure, heart rate, weight and daily activities sensors are storing the personal data of users for processing and monitoring and may give future recommendations. If such personal information reaches unwanted third parties who distribute or use the data without user consent or knowledge, they are attacking the user’s confidentiality. Therefore, selecting the appropriate security protocols and procedures is critical. The limited processing, storage and power capabilities. In this thesis, the focus is to provide an experimental benchmark study that shows the cost (e.g., processing time of encryption and decryption algorithms) of applying different security protocols on restricted devices equipped with lightweight Bluetooth or Wi-Fi communication modules over the Arduino Uno sensor platform.

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