ENHANCING IOT SECURITY: THREAT MODEL-BASED ANALYSIS IN THE WEB OF THINGS ECOSYSTEM

Abstract

The Internet of things using collaborative technologies such as 5G, cloud, artificial intelligence, analytics, and automation enables people and objects/devices to communicate with each other at anytime and anywhere using the internet. The aim of this study is to understand the phenomenon of the Internet of Things and identify security, privacy, and trust threats associated with it. For this, we used a renowned Microsoft threat model such as STRIDE and a threat analysis tool like DREAD to examine the security threats through IoT Soil moisture system and this application is deployed on an IoT device as Nucleo board. Using this threat modeling technique, we came to know the security gaps of an IoT based system and how to find the threats of that particular system. Also, we found that how to secure that particular system by using this threat modeling technique. Moreover, how IoT devices are perceived in terms of privacy and security by people and what factors they must keep in mind while buying, using, and disposing of such devices.