抽象的な

Survey on Data Privacy in Big Data with K- Anonymity

Salini . S, Sreetha . V. Kumar, Neevan .R

Big data concerns of large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, big data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. Data mining have challenges with big data. From all the challenges, existing systems focused on data privacy and data security. Data privacy can protect using K- Anonymity technique and data security is implemented using authentication method. K- Anonymity is the method that annonymized data fields such that sensitive information cannot be pinpointed to an individual record. But leakage of sensitive data are still there, so there must need a better privacy preserving technique. In this paper we are proposing an alternate method using Alpha K Anonymity in order to obtain better privacy