Virtual Conference
July 26, 2021
July 26, 2021
July 19, 2022
Computing and Information Technology Division Poster Session
Computing and Information Technology
Diversity
11
10.18260/1-2--37407
https://peer.asee.org/37407
1225
Dr. Canbaz is an Assistant Professor of Computer Science at the School of Science of Indiana University Kokomo. He received his B.S. in Computer Engineering from Fatih University (2010), his M.S. in Computer Science and Engineering from International Burch University at Sarajevo, Bosnia Herzegovina (2012). He received another M.S. in CS from Indiana University Purdue University Indianapolis (2014). He received his Ph.D. from University of Nevada, Reno (2018).
His research interests are in Data Science, Network Science, Network Measurements and Distributed Systems, with a recent focus on Online Social Networks, Policies and Regulations Measurements, IoT Networks, and smart-sourced sensing.
The arrival of the Internet of Things (IoT) into our daily lives in various forms such as home appliances and wearable devices has dominated Internet usage. This dominant behavior left network practitioners with many questions to be answered related to IoT devices including development, deployment, security, privacy, and ethics. For every new device, a set of procedures and algorithms need to be developed to enable them to connect, interact, monitor, analyze, and augment the device’s physical attributes. Given that the data generated and processed by the IoT devices contain a large amount of private information; processing, archiving, and preserving information security of the data collected from IoT devices is an important issue that cannot be neglected. In this paper we discuss the necessity and elaboration of IoT privacy and security in primarily teaching institutions, including high schools and middle schools is a necessity. This paper provides guidelines to set up an in-house cybersecurity lab, along with a toolset that is specifically designed and implemented as an open-source smart-home traffic measurement, visualization, and analysis. One of the advantages of this toolset is that it will allow teaching institutes to elaborate IoT Privacy and security inside their classroom and beyond.
Canbaz, M. A., & OHearon, K., & McKee, M., & Hossain, M. N. (2021, July), IoT Privacy and Security in Teaching Institutions: Inside The Classroom and Beyond Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--37407
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