Assessing Security threats Perception of LayeredInternet of Things using Multiple Linear Regression Model
Ahmad Bilal, Syed Jahania Shah, Manaal Khan · 2022
The IoT has enabled us to interconnect millions of devices to create smart networks. However, the consequences of an IoT failure can be severe, hence it becomes extremely critical to study and analyze the security issues. In this study mathematical models are developed using a multiple linear regression approach that helps to gauge the perception of people regarding security threats related to the layered architecture model of IoT. The survey was conducted on students of Habib University. The developed model is based on eleven hypotheses and maps to four critical perception areas of IoT sustainability, trust, exploitation of resources, and threat awareness.