Master of Science (MS)
Fabio Di Troia
In this research, we develop and analyze a tool that monitor student browsing activity during online examination. Our goal is to detect cheating in real time. In our design, a server capture packets using KISMET and detects cheating based on either a whitelist or blacklist of URLs. We provide implementation details and give experimental results, and we analyze various attack strategies. Finally, we show that the system is practical and lightweight in comparison to other available tools.
Kasliwal, Gaurav, "Cheating Detection in Online Examinations" (2015). Master's Projects. 399.