• Nirzari Patel
• Dr.Mehul Barot

Anonymization is a process of hiding the information such that an unauthorized user could not gathered anything from the records, on the other hand an analyser will get necessary information[4].The word Data Privacy is related with data collection and distribution of data. Privacy issues appears in different area such as Bank sector, health care, social media data,etc.It is one of the challenging task when publishing or sharing the data between one to many sources for research purpose and data analysis[2].Many organizations also release huge micro data. It excludes an individual’s direct identity marks like name, address and consist of specific information like gender, marital status, DOB, Pin-code, which can be combined with other public data to recognize a person[3]. This inference attack can be worked to obtain any sensitive information from social network platform, by that putting the privacy of a person in danger. To stop such attacks by changing micro data, anonymization is used. In this paper, we provide a additional disclosure technique for releasing information from a private table such that the identity of any individual to whom the released data refer cannot be recognized. It is based on the topic of generalization and suppression, from which stored values can be replaced with trustworthy but less specific alternatives, and of k-anonymity.

privacy preserving, Data publishing, k-anonymization

"Observations on Anonymization Based Privacy Preserving Data Publishing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.58-61, April-2019, Available :http://www.jetir.org/papers/JETIR1904712.pdf

"Observations on Anonymization Based Privacy Preserving Data Publishing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp58-61, April-2019, Available at : http://www.jetir.org/papers/JETIR1904712.pdf