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.