Abstract
In the U.S., the Department of Defense and the National Security Agency are taking steps to build cybersecurity capacity through workforce training and education. We describe the development of cybersecurity education courseware for internet-of-things (IoT) applications.
We selected the domain of healthcare and featured 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 creation of electronic health records. We used a password protected MySQL database as a model for electronic health records. We demonstrated potential vulnerabilities of these databases to SQL injection attacks.
We administered these labs during a Fall 2019 course where students reported a significant increase in their understanding of cybersecurity issues. The instructional lab material will be uploaded to https://clark.center.
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Acknowledgment
We are grateful to the students in the Fall 2019 Embedded Systems course at Fairleigh Dickinson University. The project was sponsored by the National Security Agency under Grant/Cooperative Agreement Fairleigh Dickinson University CySP Grant Number H98230-19-1-0272. The United States Government is authorized to reproduce and distribute reprints notwithstanding any copyright notation herein.
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Rao, A.R., Mishra, K., Recharla, N. (2021). Designing an Internet-of-Things Laboratory to Improve Student Understanding of Secure Embedded Systems. In: Choo, KK.R., Morris, T., Peterson, G.L., Imsand, E. (eds) National Cyber Summit (NCS) Research Track 2020. NCS 2020. Advances in Intelligent Systems and Computing, vol 1271. Springer, Cham. https://doi.org/10.1007/978-3-030-58703-1_15
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DOI: https://doi.org/10.1007/978-3-030-58703-1_15
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