NUYA: An encrypted mechanism for securing cloud data from data mining attacks

Abstract

Cloud Computing is a vast infrastructural and rising pool, which provides huge storage of data in one sphere. Organizations, now a days are in the marathon of equipping the whole system in a cloud form. The attackers evaluating data for a long time to extract the valued information to perform data mining based attacks on the cloud. In the recent architectures the data is sited in a single or distributed cloud provider. It gives the opportunity to the cloud providers and attackers to unauthorized access from cloud and also gives the chance to analyze the client data for a long time to extract the sensitive information, which is responsible for the privacy violation of clients. This paper proposes an approach that firstly maintains the confidentiality, integrity, and authentication for the stored data in cloud. Secondly, it presents distributed storage cloud architecture, which includes the description of trusted computing work group (TCG) and trusted platform module (TPM). It provides hardware authentication for trustworthy computing platform and also uses Kerberos authentication to avoid software attacks. This proposed approach establishes file locality by clustering the related data based on their physical distance and effective matching with client applications. It supports efficient clustering and reduces communication cost in large-scale cloud computing applications.