Title :
Learning of personalized security settings
Author :
Sharifi, Mehrbod ; Fink, Eugene ; Carbonell, Jaime G.
Author_Institution :
Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
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.
Keywords :
learning (artificial intelligence); security of data; user interfaces; computer users; cybersecurity tools; learning; personalized security settings; Cryptography; Indium phosphide; Privacy; Cybersecurity; machine learning;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5642461