Academic Conferences and Publishing International Limited
Abstract
e-Learning systems are today one of the most used tools in student’s life. Every time a student uses an e-Learning system he initiates a pre-defined, and often implicit, set of clicks, which somewhat characterizes his interests. The navigation habits of students can be revealed easily through a conventional usage profiling process. In most cases, these profiles are used to optimize the organization of e-Learning systems, to tune its services, or simply to reallocate resources and services in better access places. In this paper, we analyse student profiles with a different, less- conventional goal: to identify improper and anomalous accesses to e-Learning systems requiring user credentials (login and password)
