User Profiles and Identifing User Behaviour in the Cloud Computing Environment

Abstract

In this paper, for the detection of the masquerade attacks in the cloud infrastructure collaborative filtering algorithm based on the cloud model is proposed. One of the advantages of this model is the identification of the similarity between the users on the basis of the cloud model. While using the similarity measurement method based on the cloud model, it does not require a strict comparison between the score value of operations used by different users. Here we provide the calculation of the statistic features of the score values of all operations used by the user at the access point, then we provide a comparison of statistics features of the input data and based of these we determine the similarity between the input data.