Designing an internet of things laboratory to improve student understanding of secure IoT systems

In response to an alarming shortage of workers in cybersecurity and a growing skills gap, the U.S. Department of Defense is taking steps to build cybersecurity capacity through workforce training and education. In this paper, we present an approach to address this shortage and skills gap through the...

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Main Authors: A. Ravishankar Rao, Angela Elias-Medina
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:Internet of Things and Cyber-Physical Systems
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667345223000536
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author A. Ravishankar Rao
Angela Elias-Medina
author_facet A. Ravishankar Rao
Angela Elias-Medina
author_sort A. Ravishankar Rao
collection DOAJ
description In response to an alarming shortage of workers in cybersecurity and a growing skills gap, the U.S. Department of Defense is taking steps to build cybersecurity capacity through workforce training and education. In this paper, we present an approach to address this shortage and skills gap through the development of cybersecurity education courseware for internet of things (IoT) applications.To attract students and workers into the field of cybersecurity, it is important to design courseware that is exciting and tied to real-world problems. We describe our design for an embedded systems course taught at the graduate level for engineering and computer science students. The innovation in our approach is to select the fast-growing domain of healthcare and feature different IoT sensors that are seeing increased usage. These include barcode scanners, cameras, fingerprint sensors, and pulse sensors. These devices cover important functions such as patient identification, monitoring, and creating electronic health records. We use a password protected MySQL database as a model for electronic health records. We also demonstrate potential vulnerabilities of these databases to SQL injection attacks.We administered these labs and collected survey data from the students. We found a significant increase in student understanding of cybersecurity issues. The mean confidence level of the students in cybersecurity issues increased from 2.5 to 4.1 on a 5-point scale after taking this course, which represents a 65% increase. The instructional lab material has been uploaded to the web portal https://clark.center designated by the National Security Agency for dissemination. Our approach, design, and experimental validation methodology will be useful for educators, researchers, students, and organizations interested in re-skilling their workforce.
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spelling doaj-art-b0792f37058947e9b2c6266cbd900e092025-01-27T04:22:34ZengKeAi Communications Co., Ltd.Internet of Things and Cyber-Physical Systems2667-34522024-01-014154166Designing an internet of things laboratory to improve student understanding of secure IoT systemsA. Ravishankar Rao0Angela Elias-Medina1Corresponding author.; Gildart Haase School of Computer Sciences and Engineering, Fairleigh Dickinson University, NJ, USAGildart Haase School of Computer Sciences and Engineering, Fairleigh Dickinson University, NJ, USAIn response to an alarming shortage of workers in cybersecurity and a growing skills gap, the U.S. Department of Defense is taking steps to build cybersecurity capacity through workforce training and education. In this paper, we present an approach to address this shortage and skills gap through the development of cybersecurity education courseware for internet of things (IoT) applications.To attract students and workers into the field of cybersecurity, it is important to design courseware that is exciting and tied to real-world problems. We describe our design for an embedded systems course taught at the graduate level for engineering and computer science students. The innovation in our approach is to select the fast-growing domain of healthcare and feature different IoT sensors that are seeing increased usage. These include barcode scanners, cameras, fingerprint sensors, and pulse sensors. These devices cover important functions such as patient identification, monitoring, and creating electronic health records. We use a password protected MySQL database as a model for electronic health records. We also demonstrate potential vulnerabilities of these databases to SQL injection attacks.We administered these labs and collected survey data from the students. We found a significant increase in student understanding of cybersecurity issues. The mean confidence level of the students in cybersecurity issues increased from 2.5 to 4.1 on a 5-point scale after taking this course, which represents a 65% increase. The instructional lab material has been uploaded to the web portal https://clark.center designated by the National Security Agency for dissemination. Our approach, design, and experimental validation methodology will be useful for educators, researchers, students, and organizations interested in re-skilling their workforce.http://www.sciencedirect.com/science/article/pii/S2667345223000536Internet of thingsIoTCybersecurityTrustDistributed computing
spellingShingle A. Ravishankar Rao
Angela Elias-Medina
Designing an internet of things laboratory to improve student understanding of secure IoT systems
Internet of Things and Cyber-Physical Systems
Internet of things
IoT
Cybersecurity
Trust
Distributed computing
title Designing an internet of things laboratory to improve student understanding of secure IoT systems
title_full Designing an internet of things laboratory to improve student understanding of secure IoT systems
title_fullStr Designing an internet of things laboratory to improve student understanding of secure IoT systems
title_full_unstemmed Designing an internet of things laboratory to improve student understanding of secure IoT systems
title_short Designing an internet of things laboratory to improve student understanding of secure IoT systems
title_sort designing an internet of things laboratory to improve student understanding of secure iot systems
topic Internet of things
IoT
Cybersecurity
Trust
Distributed computing
url http://www.sciencedirect.com/science/article/pii/S2667345223000536
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