Encryption based Privacy Preservation on Big Data using Dynamic Data Encryption Strategy
Johnny Antony P · International Journal for Research in Applied Science and Engineering Technology · 2019
Big data is termed as huge volume of both structured and unstructured dataset. When dealing with these huge dataset several challenges are encountered by the users such as analysis, capture, storage, search, transfer, sharing, and visualization. To handle these complex data sets numerous technologies have been developed. With the developing technologies and all its connected devices, it is predicted that vast amount of data is produced in the last couple of years. There are many algorithms available for clustering the big data. This section focus on the density based clustering algorithms and its related works. Technology is enhancing each and every day especially in the field of Information Technology and data is very momentous elements. The large volume of data generated through devices is a major obstacle to handle in real time. The accomplishment of data ciphering is a crucial problem during the data progression and dissemination. In order to achieve pursuance, many application disregards data encryption. This article represents a concern about data privacy and suggests a novel data encryption approach known as Dynamic Data Encryption Strategy (DDES).