TITLE:
Illegal Access Detection in the Cloud Computing Environment
AUTHORS:
Rasim Alguliev, Fargana Abdullaeva
KEYWORDS:
Cloud Computing; Masquerade Attack; Cloud Model; User Similarity; Collaborative Filtering
JOURNAL NAME:
Journal of Information Security,
Vol.5 No.2,
April
18,
2014
ABSTRACT: In this paper detection method for the illegal
access to the cloud infrastructure is proposed. Detection process is based on
the collaborative filtering algorithm constructed on the cloud model. Here,
first of all, the normal behavior of the user is formed in the shape of a cloud
model, then these models are compared with each other by using the cosine
similarity method and by applying the collaborative filtering method the
deviations from the normal behavior are evaluated. If the deviation value is
above than the threshold, the user who gained access to the system is evaluated
as illegal, otherwise he is evaluated as a real user.