Scalable Security Based on Data Classification Using Generalized RSA in Cloud Storage

Abstract

In cloud environment, huge amount of data is stored in data centers. These data are generated from numerous sources such as social media, social networking and others. These data are generally in form of text, image, audio or video. These data are exponentially increasing due to huge amount of multiple streams generating these data at every millisecond. Many of these data are permanently stored in data centers over cloud and rarely used. However, all of the data stored in data centers over cloud are encrypted using some encipherment mechanisms for providing security objectives. There are several mechanisms used for encipherment such as DES, RSA etc. Using any of these encipherment mechanisms involve huge amount of cost. The cost is usually borne by the service provider. In this paper, we devised a novel method for scalable security based on data classification using Generalized RSA-AA using 2ⁿ prime numbers. The objective of proposing a scalable security model based on Generalized RSA-AA. In this paper, a flow model has been presented discussing the encipherment of data as per their classification. The security imposed on the data can also be scaled up to desired security strength based on the requirement of the user or the importance of data.