Illegal Access Detection in the Cloud Computing Environment  

作　　者：Rasim Alguliev Fargana Abdullaeva 

机构地区：[1]Institute of Information Technology ANAS, Baku, Azerbaijan

出　　处：《Journal of Information Security》2014年第2期65-71,共7页信息安全（英文）

摘　　要：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.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.

关 键 词：CLOUD Computing MASQUERADE ATTACK CLOUD Model User SIMILARITY COLLABORATIVE FILTERING 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]