Date of Award

12-2022

Document Type

Project

Degree Name

Master of Science in Information Systems and Technology

Department

Information and Decision Sciences

First Reader/Committee Chair

Dr. William Butler

Abstract

At present, as the Internet of Thing (IoT) is increasingly widely used in human life, how to protect IoT devices from Malware attack has become an inevitable problem. This project is an analysis of two malwares and how they impact the Internet of Thing (IoT), especially the smart cameras common in people’s life and used in the enterprise. The analysis looks at the vulnerabilities of smart cameras and how Mirai malware and Persirai malware take advantage to these vulnerabilities to attack smart cameras within the network through the simulation process. Through the simulation, although both malwares were implemented using different methods, they all see smart cameras as bots that lead to a similar impact. In this analysis, the simulation process was set up to find ways to prevent smart cameras from being infected by malware. The scanning part found the target, the report part saw how malware gained access to their target and the control part examined how malware controls infected smart cameras to launch an attack. This analysis also looks at Cyber Kill Chain framework to examine how it could be when applied to the smart cameras and malicious software attack. The Cyber Kill Chain framework was used to break down the cyberattacks and aided in providing ways to prevent both malwares at every step. The framework shows that the user plays a huge role in preventing smart cameras from malware attack. The more knowledge and awareness users have, the safer the environment for their smart cameras.

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