Learning of personalized security settings
Mehrbod Sharifi, Eugene Fink, and Jaime G. Carbonell
In Proceedings of the IEEE International Conference
on Systems, Man, and Cybernetics, pages 3428-3432, 2010.
Abstract
While many cybersecurity tools are available to computer users, their
default configurations often do not match needs of specific users. Since
most modern users are not computer experts, they are often unable to
customize these tools, thus getting either insufficient or excessive
security. To address this problem, we are developing an automated
assistant that learns security needs of the user and helps customize
available tools.