Interested .. Thank you Dariusz Prokopowicz for your interesting comments

Some related works. Two focus specifically on MapReduce as one of the Big Data enabling technologies.

W. Zeng, Y. Yang and B. Luo, "Access control for Big Data using data content," IEEE International Conference on Big Data, 2013.

Z. Xiao and Y. Xiao, "Achieving accountable MapReduce in cloud computing," Future Generation Computer Systems, 30,pp. 1-13, 2014.

I

. Roy, S. T. Setty, A. Kilzer, V. Shmatikov and E. Witchel, "Airavat: Security and privacy for MapReduce." Proc. of the 7th Usenix Symposium on Networked Systems Design and Implementation, 2010

Thanks for your responses.

I have already given one seminar as a part of my course work of PhD, in which i tried to touch some of the issues. here is the link to my blog site which is containing the presentation file "https://brijeshbmehta.wordpress.com/2014/11/23/presentation-on-privacy-and-big-data-issues-and-challenges/". Kindly go through this link provide your suggestions.

I am confused about the feasibility of work. I mean, i don't know that whatever i am thinking to do is practically feasible or not. That's why i have started this discussion to have some advice from experts of the area.

https://brijeshbmehta.wordpress.com/2014/11/23/presentation-on-privacy-and-big-data-issues-and-challenges/

Dear Colleagues and Friends from RG, This is a very important topic. Apparently up to 90 percent data downloaded from websites to Big Data database systems for their analysis is unstructured. When reading and copying all text data and possibly other data for the purposes of Data Analytics, Data Science, Business Intelligence, sentiment analysis of Internet users' opinions etc. carried out in Big Data database systems, usually all available data is downloaded. It depends on the analyst person how and how the data filtering method will be used, whether he will act ethically, or remove sensitive, personal data of people described on individual websites, including private data read and copied from posts, comments, entries etc. contained on internet forums and social media websites. Private data contained in posts, comments, entries, etc. contained on internet forums and social media portals are not usually protected against currently used tools, programs used to download, copy data, download full content of websites. Therefore, there is a serious ethical problem regarding this sphere of research and analytics of data downloaded from websites. Technological progress is usually ahead of the necessary legal adjustments. However, these adjustments may not be sufficient in this situation. It is similar with the issue of cybercrime, which cannot be completely eliminated even by the most perfect legal regulations, because the problem is of a technological and not systemic nature. Therefore, the problem of the issue of privacy of personal data on websites can be realistically solved basically primarily in terms of refining the technological protection of these data against copying, reading by programs, machines, worms that walk in the background on websites and all contained data is read and copied on these pages. This type of security is improved in financial institutions, including banks developing electronic online and mobile banking, because in these institutions it is now a key business and image issue. I conduct research in this area, mainly in the field of applications of Business Intelligence analytics carried out in Big Data database systems as well as in the field of secure data transfer on the Internet and cybersecurity in electronic online banking. The conclusions of the research I published in scientific publications that are available on the Research Gate portal. I invite you to cooperation.

Best wishes

Dariusz Prokopowicz

Interested .. Thank you Dariusz Prokopowicz for your interesting comments