Title :
Autom atic Profiling and Behavior Prediction of Computer System Users
Author :
Onroy, J.M. ; Becerra, J.A. ; Bellas, F. ; Duro, R.J. ; López-Peña, F.
Author_Institution :
Integrated Group for Eng. Res., Univ. of La Coruna
Abstract :
Detecting changes in the behavior of users can serve as an indicator of malicious or damaging misuse in many services; including the possible usurpation of a regular user identity by an intruder. For these purposes, approaches based on the profiling of users are not as common as those based on the analysis of the system behavior. This paper presents a method for automatically profiling and subsequently predicting the behavior of computer system users. The method is based on evolutionary profiling agents evolving in real time in order to dynamically provide a profile for each subject under analysis. The paper presents some experimental results from real data providing scheduled time and the real effective use of resources made by users of a high performance computing (HPC) center. The resulting profiling turns out to be very good for most users and the consequential relative error between prediction and effective activities appears as an effective parameter in detecting both changes in user behavior and user identity usurpation
Keywords :
evolutionary computation; human factors; multi-agent systems; neural nets; user modelling; HPC center; artificial cognitive agents; artificial neural networks; automatic profiling; behavior prediction; computer system users; evolutionary profiling agents; high performance computing; intrusion detection; system behavior; Ear; Electrical capacitance tomography; Ovens; Behavior prediction; agents; evolutionary algorithms; neural networks; profiling;
Conference_Titel :
Measurement Systems for Homeland Security, Contraband Detection and Personal Safety, Proceedings of the 2006 IEEE International Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
1-4244-0241-7
Electronic_ISBN :
1-4244-0241-7
DOI :
10.1109/MSHS.2006.314353