Performance Comparison of Cryptographic Algorithms for Big Data Stored in Cloud

Due to the rapidly evolving information and communication technology, newly created data is rapidly increasing.Data from sensors, smartphones, social networking sites, logical data, and initiatives are fueling this massive information explosion.Hadoop is a framework used to process vast amounts of data.Recently, Hadoop has been widely used in businesses to store and manage important information.Hadoop is a distributed file system that is constantly being updated.However, Hadoop is vulnerable to the security of sensitive data.In this study, security issues for cloud systems were investigated.In particular, encryption algorithms available in the current cloud environment were investigated and data encryption experiments were conducted.Through comparative experiments of various algorithms, an algorithm was selected and used in a cloud environment.The algorithm used in this study can be used for data protection in the Hadoop environment.Based on experiments, it has been shown that the suggested framework with Salsa20 has the biggest avalanche effect, the lowest run time, and the maximum throughput.