Nidhi Maheshwarkar, Kshitij Pathak and Narendra S Choudhari. Article: K-anonymity Model for Multiple Sensitive Attributes. IJCA Special Issue on Optimization and On-chip Communication ooc(1):51-56, February 2012. Full text available. BibTeX
@article{key:article, author = {Nidhi Maheshwarkar and Kshitij Pathak and Narendra S. Choudhari}, title = {Article: K-anonymity Model for Multiple Sensitive Attributes}, journal = {IJCA Special Issue on Optimization and On-chip Communication}, year = {2012}, volume = {ooc}, number = {1}, pages = {51-56}, month = {February}, note = {Full text available} }
In today’s era acquiring information about others is not difficult task but securing this data form interlopers is a big deal. K-anonymity model used to protect released data. Released data which is available for public used may contain sensitive and non-sensitive data. But K-anonymity model faces changes when set of sensitive attributes are present in the data set. To achieve K-anonymous table with diversity may causes distortion of data in some extent. This paper proposed a new concept to minimize this data distortion without using tuple suppression for M-SA K-anonymity Model.