This paper is published in Volume-5, Issue-2, 2019
Area
Internet of Things
Author
Davis Matovu, Mugeni Gilbert B., Karume Simon, Mutua Stephen, Gilbert Gilibrays Ocen
Org/Univ
Busitema University, Busia, Uganda, Uganda
Pub. Date
16 April, 2019
Paper ID
V5I2-1859
Publisher
Keywords
Internet of Things, Cybersecurity, IoT applications, Metrics

Citationsacebook

IEEE
Davis Matovu, Mugeni Gilbert B., Karume Simon, Mutua Stephen, Gilbert Gilibrays Ocen. The Internet of Things: applications and security metrics with the Ugandan perspective, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Davis Matovu, Mugeni Gilbert B., Karume Simon, Mutua Stephen, Gilbert Gilibrays Ocen (2019). The Internet of Things: applications and security metrics with the Ugandan perspective. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Davis Matovu, Mugeni Gilbert B., Karume Simon, Mutua Stephen, Gilbert Gilibrays Ocen. "The Internet of Things: applications and security metrics with the Ugandan perspective." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

As the Internet of Things (IoT) increasingly becomes a reality, thousands of devices get connected to IoT platforms in smart cities and regions. These devices will actively send data updates to cloud-based platforms, as part of smart applications in various domains like healthcare, traffic, and education among others. Therefore, it is important to assess the ability of modern IoT systems to handle high rates of data updates coming from devices. The paper aims at developing metrics that can be used to assess the IoT cybersecurity status of a country in terms of the Intensity, Readiness, and Adoption with a special focus of Uganda as a case study. To achieve this, a design science approach was employed. Data were collected from a sample of 127 respondents from 7 firms around Kampala district. Finally, the impact of the proposed metrics is demonstrated through an application to the IoT assessment model.
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