Quantifying Security and Privacy in Internet of Things Solutions

被引:0
作者
Alsubaei, Faisal [1 ]
Abuhussein, Abdullah [2 ]
Shiva, Sajjan [1 ]
机构
[1] Univ Memphis, Comp Sci Dept, Memphis, TN 38152 USA
[2] St Cloud State Univ, Dept Informat Syst, St Cloud, MN 56301 USA
来源
NOMS 2018 - 2018 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM | 2018年
关键词
IoT; security; privacy; assessment; quantitative;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
As the Internet of things continues to mature, there has been a wide and rapid adoption of Internet of things solutions in many domains. However, the security and privacy of these solutions are often underrated. The lack of security and privacy in the solutions can lead to catastrophic results, especially in sensitive domains like healthcare. Therefore, it is imperative to ensure their security and privacy. Stakeholders often find themselves unguided when assessing the security and privacy of the solutions. This paper proposes a framework to quantitatively assess and compare the security and privacy in Internet of things solutions using Analytic Hierarchy Process. It also provides in-depth security and privacy assessment criteria to enhance security and privacy in the Internet of things solutions. This work aims to fill the gap between consumers and providers by promoting transparency and increasing the security awareness.
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页数:6
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