• R.Santhana Krishnan
• Dr.K.Sasikala
• Dr.S.Senthilkumar

Unfathomable quantum of comprehensive private data is habitually gathered as the mutual exchange of the corresponding information has come as a shot in arm for a multitude of data mining applications. The related data extensively encompass the shopping trends, criminal records, medical history, credit records and so forth. It is true that the corresponding information has proved its mettle as a vital asset to the business entities and governmental organization for the purpose of taking prompt and perfect decisions by means of assessing the pertinent records. However, it has to be borne in mind that harsh privacy. The Big data processing, in fact, involves the explosive expansion of demands on evaluation, storage, and transmission in data centers, thus leading to incredible working expenses to be borne by the data center providers. Thus, the issue of cutting down the expenses has emerged as the most vital factor for the imminent big data era. Here, we explain the PLATFORA algorithm to design the big data processing for high data delivery. The utility-based privacy preservation has two objectives: ensuring the private data and protecting the information utility however much as could be expected. Moreover, protection conservation is a hard prerequisite, that is, it must be fulfilled, and utility is the measure to be optimized. To achieve this, we introduce VSSFA and Map Reduce Framework in Cloud environment. In this proposed work develop a privacy preserving clustering process with cost minimization for big data processing.

Radial Basis Function, Variation Step Size Firefly Algorithm, Feed Forward Neural Network, Probabilistic Clustering Algorithm.

"Development Of Fine-Grained Big Data Privacy Preserving Vssf Algorithm For Cost Minimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.201-207, November-2018, Available :http://www.jetir.org/papers/JETIR1811528.pdf

"Development Of Fine-Grained Big Data Privacy Preserving Vssf Algorithm For Cost Minimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp201-207, November-2018, Available at : http://www.jetir.org/papers/JETIR1811528.pdf