Quantifying security and privacy in Internet of Things solutions

Abstract

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.

Publication Title

IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018

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