Enhancing the Security of the Cloud data using a Three Tier model and Redundancy Technique

Abstract

In the system if disk get failure, that disk has to be considered as erasure, and the data carried by that are illegible by the server. To protect the sensitive data homomorphic tokenization method has been used. The data file has to split into the number of tokens, i and therefore to restore the original data, the user must produce the received tokens. To digitalize the token RSA algorithm has applied. Thus it ensures the secured authentication of data by the user. In order to audit the log-in files, the server provides third-party auditors, and thereby it reduces the managing cost. The data is encrypted by using an Attribute-based encryption algorithm, in order to access the original data, the user must provide the attributes that match attributes stored in the server. In second approach, a multi-cloud method has been used to enhance the security level of the most sensitive data in cloud computing services. To ensure confidentiality and integrity of data this method enforces shamir s secret sharing algorithm. This algorithm shares the data into several bits and shares to different entities. To restore the original sensitive data the user must know the threshold number of shares and so guarantees the confidentiality and integrity of data. The reliability of the proposed system can be achieved by enforcing sequential triple modular redundancy. This uses three cloud service providers and offers hassle-free services by backup the data. If one disk has undergone any hardware or software failures, then the service might be continued by applying majority voting schemes. Due to this, the user can access the data without any interruption.Because of the triple redundancy mechanism (TMR) used, the MCDB architecture continues to function even if one or more cloud databases fail. The TMR technique utilized here is a reliability improvement strategy that ensures the system will continue to provide services while merging multiple cloud databases. The proposed MCDB uses the SSS algorithm to provide a transparent approach to th