Database Security Improvement in Cloud Computing

Abstract

There are multiple ways of keeping data by using Single or Distributed Database on cloud, yet single database client can keep data only on single server, and if multiple client tries to access those data at the same time with data consistency, the data may be altered at the time of concurrent data access. Handling data on single database could be easy, but problems associated with data consistency, confidentiality, availability, bottleneck/single point of failure are always there. To eliminate these problems, today the author uses the Distributed Database approach, in which data is stored on multiple servers, and makes clients access the data concurrently. Here, data is mirrored in multiple places and made available anytime/anywhere. Moreover, various replicas of the data are kept on various servers so if the data is lost during concurrent access, replica is available and made easily available to users. Data security is administered using various encryption algorithm like DES (Data Encryption Standard), 3DES (Triple Data Encryption Standard), AES (Advanced Encryption Standard), and the like. Different kind of data are encrypted in different cryptographic schemes and thereby level of security is enhanced. Moreover, an error recovery process is also executed in the system resulting in auto correction of a failed cloud instance if the data is found to be modified there. The main advantage of this approach is data security as well as single point of failure elimination. In this architecture, the client is unaware of what kind of encryption is made to required data and what cloud server instance is providing those data. Hence data security, availability and consistency is achieved better than single cloud database architecture.