TITEL
Anomaly detection in user behavior
FöRFATTARE
Johansson, Jonas; Nordström, Peder
INSTITUTION
Industriell ekonomi och samhällsvetenskap / Systemvetenskap
SAMMANFATTNING
An Intrusion Detection System is a technical system that is designed to
identify and respond against intrusion attempts towards an IT-system. One
of
the biggest challenges is the masquerader. A masquerader is an unauthorized
user that pretends to be a legitimate user by using the victim’s identity.
Attempts have been made to identify the masquerader with different results
and accuracies. The aim with this thesis is to study how a different
approach to the problem, based on examining sessions as a whole, could
affect the accuracy and if it is even possible to detect the masquerader.
To
our help we have constructed an application that examines sessions and
extracts patterns. The patterns are then used to validate the user.
The conclusions we could draw from the experiment shows that it is possible
to distinguish the masquerader from the legitimate user by using a session
based approach.
ISSN 1402-1552 / ISRN LTU-DUPP--09/043--SE / NR 2009:043
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