An automated cloud security framework based on FCM in user-cloud environment

Abstract

In this paper an efficient secure cloud computing framework has been developed. This framework consists of data grouping based on fuzzy c-means (FCM). It has been used for the individual and associative rankings of uploaded text data on the cloud. For the decision selection ranking of the data simple additive weighting (SAW) method have been used. For data security RC6, RSA and AES algorithms have been used collectively and individually based on the condition. RC6, AES and RSA algorithms have been used as a combination for the complex key security. Based on the decision performance ranking top higher rank which supports are >=50% adopted all the three security algorithms, only one key is applied for the remaining data. The maximum number of keys applied is 5 but there are total three key variants mainly applicable. So we have considered three keys. It has been clear from our results that the keys spreading are automatically increased on the basis of number of files. So in case of high risk the keys are increased automatically and applied.