Security Enhancement and Privacy Preserving Of Big Data
Taran Singh Bharati

Taran Singh Bharati, Department of Computer Science, Jamia Millia Islamia New Delhi, India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1754-1758
| Volume-8 Issue-10, August 2019 | Retrieval Number: J91280881019/2019©BEIESP | DOI: 10.35940/ijitee.J9128.0881019

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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, psensitive 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.
Keywords: Privacy, Big Data, Security, Attacks
Scope of the Article: Security Service Systems