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Majors & Degrees


Protection and Threat Research for the Internet of Things (PATRIOT)

The PATRIOT lab targets to protect security in the critical cyberinfrastructures through applied research in the emerging areas of the Internet of Things (IoT), cyber-physical systems (CPS), Internet of Medical Things (IoMT), and edge computing. Many attacks have been reported targeting critical infrastructures. These attacks have brought to light that having a detection, protection, and threat analysis are of great importance. The focus of the PATRIOT Lab is to develop innovative solutions in these emerging areas and thus protect security in critical cyberinfrastructures.


To achieve the goals of the PATRIOT Lab, the lab will focus on the following elements:

  • Conduct cutting-edge research on emerging technologies, to discover vulnerabilities and create innovative and practical approaches to lessen risks.
  • Collaborate with industry partners to develop and commercialize security testing procedures, tools, and software products.
  • Prepare future workforce in cybersecurity. Undergraduate and graduate students will participate in the lab research activities. Students will be trained and prepared for future cybersecurity challenges.

With the generous support from the National Science Foundation (NSF CNS 1852145, NSF CNS 1337529, and NSF OAC 1730105, etc.), the National Centers of Academic Excellence in Cybersecurity (NCAE-C), the state of South Dakota, and Dakota State University, the lab has created its unique testing infrastructure including both IoT networks and CPS for conducting research on these technologies. We are able to conduct security assessments on any given device. Our approaches are based on security testing and quantitative analysis including network monitoring, network traffic analysis, and machine learning. Our research findings have been published in prestigious journals and conferences like IEEE Computer, IEEE Cloud, IEEE TWC, IEEE JSAC, IEEE TPDS, IEEE TSC, IEEE TNSM, IEEE TSG, IEEE TTS, IEEE Globecom, IEEE ICC, IEEE INFOCOM, IEEE ICCE, IEEE CCNC, IEEE ICNC, HICSS, and AMCIS.

Recent Awards

  • “Designing Cloud-Based Secure Communication Platform for Electric Vehicle Charging”, Bhaskar Rimal (PI), the State of South Dakota Board of Regent's Competitive Research Grant, $90,000, 09/01/2021-08/31/2022.
  • "Machine Learning Assisted Cloud-Based Continuous Learning Approach for IoT Device Identification", NCAE-C-002-2021 Cybersecurity Research Innovation, $245,632, 09/01/2021-08/31/2022, Yong Wang (PI), Bhaskar Rimal (Co-PI).
  • "REU Site in IoT Security", NSF, $377,487, March 1, 2019-Februrary 28, 2022. Yong Wang (PI), Bhaskar Rimal (Co-PI), Ashley Podhradsky (former, Co-PI).

Recent Publications

  • Y. Wang, B. P. Rimal, M. Elder, S. I. Crespo Maldonado, H. Chen, C. Koball, and K. Ragothaman, ``IoT Device Identification Using Supervised Machine Learning,'' in Proc. 40th IEEE International Conference on Consumer Electronics (ICCE 2022), Jan. 7-9, 2022,
  • B. P. Rimal, C. Kong, B. Poudel, Y. Wang, and P. Shahi, ``Smart Electric Vehicle Charging in the Era of Internet of Vehicles, Emerging Trends, and Open Issues,'' Energies Journal, vol. 15, no. 5, pp. 1908, Mar. 2022.
  • Heuchert, B. P. Rimal, M. Reisslein, and Y. Wang, ``Design of a Small-Scale and Failure-Resistant IaaS Cloud Using OpenStack,'' Applied Computing and Informatics, Sept. 2021.
  • Vyas, M. Reisslein, B. P. Rimal, G. Vyas, G. P. Basyal, and P. Muzumdar, ``Automated Classification of Societal Sentiments on Twitter with Machine Learning,'' IEEE Transactions on Technology and Society, Aug. 2021.
  • Kong, B. P. Rimal, M. Reisslein, M. Maier, I. S. Bayram, and M. Devetsikiotis, ``Cloud-Based Charging Management of Heterogeneous Electric Vehicles in a Network of Charging Stations: Price Incentive vs. Capacity Expansion,'' IEEE Transactions on Services Computing, DOI: 10.1109/TSC.2020.3009084

Varghese Vaidyan

Varghese Vaidyan

Assistant Professor


The Beacom College of Computer & Cyber Sciences


Office Location: East Hall
Phone: (605) 256-5838