RT Conference Proceedings
T1 Evolving Systems for Computer User Behavior Classification
A1 Iglesias Martínez, José Antonio
A1 Ledezma Espino, Agapito Ismael
A1 Sanchis de Miguel, María Araceli
AB A computer can keep track of computer users to improve the security in the system. However, this does not prevent a user from impersonating another user. Only the user behavior recognition can help to detect masqueraders. Under the UNIX operating system, users type several commands which can be analyzed in order to create user profiles. These profiles identify a specific user or a specific computer user behavior. In addition, a computer user behavior changes over time. If the behavior recognition is done automatically, these changes need to be taken into account. For this reason, we propose in this paper a simple evolving method that is able to keep up to date the computer user behavior profiles. This method is based on Evolving Fuzzy Systems. The approach is evaluated using real data streams.
PB IEEE
SN 978-1-4673-5855-2
YR 2013
FD 2013
LK https://hdl.handle.net/10016/23611
UL https://hdl.handle.net/10016/23611
LA eng
NO This work has been supported by the Spanish Governmentunder i-Support (Intelligent Agent Based Driver DecisionSupport) Project (TRA2011-29454-C03-03).
DS e-Archivo
RD 17 jul. 2024