(Georgia Institute of Technology, 2021-05)
Gabrielyan, Davit
In this paper, my team endeavored to assist end-users in their cybersecurity struggles by constructing a security assistant. The security assistant would unobtrusively detect vulnerabilities on the end-users machines and notify the users in the most effective manner to ensure that they take the steps to mitigate the underlying causes of the vulnerability. The detection of the vulnerabilities is performed using machine learning and detection algorithms.
To ensure the effectiveness of our assistant we plan to conduct a rigorous study in order to assess the extent to which our security assistant is capable of encouraging end-users to have better cybersecurity practices. After obtaining the results of our study, we plan to further improve the capabilities of our security assistant so that the notifications it displays are more effective and informative. Ultimately, we strive to find techniques that would allow end-users to interactively communicate with our assistant about their security needs and have a safe virtual environment on their machines.