Immediate Detection of Data Corruption by Integrating Blockchain in Cloud Computing

Abstract

Data has become an invaluable asset in recent times. Although, so many technologies for storing and processing these data, are in existence, cloud computing is known as the best in most of the parameters. Cloud computing allows its users to store and process a huge amount of data that are in the remote servers, thus reducing the burden on user side. Since, the users have to hand over the control over their data to an unknown authority, this method gives birth to a new challenge of data protection in terms of confidentiality, integrity and availability. There have been numerous researches on data integrity protection, so far, using cryptographic tools and data replication strategies. Yet, there is always a need to trust on a third party auditor for performing data integrity verifications. This has led to the threat of being cheated on, if the cloud authority colludes with the third party verifier. Also, the verification strategies that are already proposed and executed failed to identify the data corruption at the time of occurrence itself. To overcome this problem, we propose a data integrity verification scheme that uses blockchain technology for storing the data in the cloud. The blockchain properties like immutability and decentralization are integrated to identify the tampering of data immediately. Hence, the third party auditor is removed by enabling the minors to take control over the blocks in the blockchain. This paper shows the design and working model of the integration of blockchain in cloud storage.