Security enhancement and privacy preserving of big data

Abstract

Big data is gaining the popularity among the data scientist and the people from the Biology related disciplines. Big Data is very huge in volume and comes very fast from various sources. Millions of tweets or posts are generated per second on social networking sites. Big data has many issues of i.e. nature, storing, management, and processing, privacy and security in disclosing of attributes of the sensitive data in data of healthcare etc. For maintaining the privacy there are k-anonymity, p-sensitive k-anonymity, l-diversity, t-closeness, and k-concealment ways. In this paper an anonymity algorithm is proposed which will be used to enhance the security and privacy preserving of sensitive attributes of big data.