%0 Journal Article %1 rmaheshmethod %A R.Mahesh, %D 2013 %J International Journal on Cryptography and Information Security (IJCIS) %K Data Privacy %N 2 %P 23-30 %T A New Method for Preserving Privacy in Data Publishing Against Attribute and Identity Disclosure Risk %V 3 %X Sharing, transferring, mining and publishing data are fundamental operations in day to day life. Preserving the privacy of individuals is essential one. Sensitive personal information must be protected when data are published. There are two kinds of risks namely attribute disclosure and identity disclosure that affects privacy of individuals whose data are published. Early Researchers have contributed new methods namely k-anonymity, l-diversity, t-closeness to preserve privacy. K-anonymity method preserves privacy of individuals against identity disclosure attack alone. But Attribute disclosure attack makes compromise this method.

@article{rmaheshmethod, abstract = {Sharing, transferring, mining and publishing data are fundamental operations in day to day life. Preserving the privacy of individuals is essential one. Sensitive personal information must be protected when data are published. There are two kinds of risks namely attribute disclosure and identity disclosure that affects privacy of individuals whose data are published. Early Researchers have contributed new methods namely k-anonymity, l-diversity, t-closeness to preserve privacy. K-anonymity method preserves privacy of individuals against identity disclosure attack alone. But Attribute disclosure attack makes compromise this method. }, added-at = {2018-06-05T12:06:35.000+0200}, author = {R.Mahesh}, biburl = {https://www.bibsonomy.org/bibtex/2c2416512f5d5a8be399cd5d8100153c5/alinta}, interhash = {1c9d33a5464116d898f84c9a1e2ecbb9}, intrahash = {c2416512f5d5a8be399cd5d8100153c5}, journal = {International Journal on Cryptography and Information Security (IJCIS)}, keywords = {Data Privacy}, month = {June}, number = 2, pages = {23-30}, timestamp = {2018-06-05T12:06:35.000+0200}, title = {A New Method for Preserving Privacy in Data Publishing Against Attribute and Identity Disclosure Risk}, volume = 3, year = 2013 }