• beschi

There is a rapid growth of data due to data analytics and its utilization in big data. This gives rise to the problem of data disclosure and privacy violation. Many data anonymization methods are introduced in this regards to preserve privacy and to minimise the risk factors. However these methods are not suitable for big data environments and generate high loss to the data. Hence in this paper we introduce a new anonymization technique that can tackle with large values of data. Experimental results prove that this model preserve privacy of big data efficiently compared to the existing approaches.

Big data, anonymization, privacy, data disclosure

"An efficient anonymization approach to Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.572-577, May-2019, Available :http://www.jetir.org/papers/JETIR1905884.pdf

"An efficient anonymization approach to Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp572-577, May-2019, Available at : http://www.jetir.org/papers/JETIR1905884.pdf