基于多元线性回归模型的分层物联网安全威胁感知评估

Ahmad Bilal, Syed Jahania Shah, Manaal Khan
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引用次数: 0

摘要

物联网使我们能够连接数百万台设备以创建智能网络。然而,物联网故障的后果可能是严重的,因此研究和分析安全问题变得极其重要。在本研究中,使用多元线性回归方法开发数学模型,有助于衡量人们对与物联网分层架构模型相关的安全威胁的看法。调查对象是哈比卜大学的学生。开发的模型基于11个假设,并映射到物联网可持续性、信任、资源利用和威胁意识四个关键感知领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Security threats Perception of LayeredInternet of Things using Multiple Linear Regression Model
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.
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