• Kishore Mishra
• Associate Prof. Brij Kishore

This time privacy preserving is the most concerning issue. Anonymity continues the identification of the individuals in competencies methods personal; however it’s not always concerned with how public the traces hence come to be. Anonymization method is applied on the dataset. Then by using of fuzzy c-means clustering data are clustered. Finally, on this data apply DES technique to preserve privacy. An experimental result shows that fuzzy c-means with DES encryption algorithm gives most accurate results with reduced error rate rather than previous approach.

Data Mining, Fuzzy C-Means Clustering, Privcy preserving, Data encryption standard technique, Anonymity.

"Prevention of Sensitive and Privileged Information Using Fuzzy C-Means with DES Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.738-741, August-2018, Available :http://www.jetir.org/papers/JETIR1808748.pdf

"Prevention of Sensitive and Privileged Information Using Fuzzy C-Means with DES Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp738-741, August-2018, Available at : http://www.jetir.org/papers/JETIR1808748.pdf