Big data privacy rules apply in seemingly. But (as in others) will always do not comply with these rules. What are the rules so no matter the degree of importance of the data they will be violated.

Büyük veriler içinde görünürde mahremiyet kuralları geçerlidir. Fakat (diğerlerinde de olduğu gibi) her zamân bu kurallara uymayanlar olacaktır. Ne kadar kurallar olursa olsun verilerin önemi derecesinde bunlar ihlal edileceklerdir.

No offence, but i know about privacy issues with big data. My question is about any existing technique available to preserve privacy. I actually wants to know about technique and data set used for that technique.

Dear Brijesh B. Mehta

In my opinion, there are recent some on-going research about the privacy preserving while data mining. I suggest you find some paper with the key word: "Differential Privacy".

And for your information, I think your question is somehow related to the one here in this URL:

https://www.researchgate.net/post/Which_method_is_better_for_protecting_the_privacy_of_sensitive_data_k-anonymity_or_l-diversity_why

This is about some techniques for protecting the privacy of sensitive data while doing the data mining.

Best regards.

Try

Auditing sum-queries to make a statistical database secure. ACM Trans. Inf. Syst. Secur. 9(1): 31-60 (2006)

Thanks HOÀNG Nguyên Phong and Mauro Mezzini

Dear Brijesh , 

There are some technics in privacy preserving such as K-Anonymity, L-Diversity, T-Closeness and Diffrential privacy which can be use in Big data privacy preserving  with few changes.  

I found some privacy preserving approaches in big data while my PhD research.

https://dl.acm.org/citation.cfm?id=2791380

https://ieeexplore.ieee.org/document/8048769/

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