Information Interpretation Code For Providing Secure Data Integrity On Multi-Server Cloud Infrastructure

Data security is one of the biggest concerns in cloud computing environment. Although the advantages of storing data in cloud computing environment is extremely high, there arises a problem related to data missing. CyberLiveApp (CLA) supports secure application development between multiple users, even though cloud users distinguish their vision privileges during storing of data. But CyberLiveApp failed to integrate the system with certain cloud-based computing environments on multi-server. Environmental Decision Support Systems (EDSS) move away the technical load and focus mainly on decision-making activities. EDDS does not have a secure collaborative decision-making experience on cloud services. To integrate the security level for multi-server cloud infrastructure, Information Interpretation Code on Multi-Server (IICM-S) is proposed in this paper. To ensure the information with relevance to security on cloud-based computing environments, Information Interpretation Code (IIC) algorithm is initially developed. Thus, IIC guarantee that all information pertaining to cloud is in secured condition in order to prove the trustworthiness of data. In addition, the multi-sever cloud infrastructure in IIC provides access point for secure information recovery from cloud data server. The multi-server cloud infrastructure with IIC algorithm performs the recovery task on multi-server cloud infrastructure. The Multi-server Information (MI) scheme measures the integrity level with effective data recovery process. The integrity level on multi-server cloud infrastructure is ensured using two components, verifier and verify shifter. MI scheme proficiently check integrity using these two components so that not only the data integrity is provided as well as security is ensured in all cases using IICM-S. Experiment is conducted in the Cloudsim platform on the factors such as average integration time on multi-server, security level, recovery efficiency level.