%0 Journal Article %1 savitalohiya2013performance %A Savita Lohiya, Lata Ragha %D 2013 %E Hope, Dr.Martin %J Int. J. on Recent Trends in Engineering and Technology, %K Data Mining Privacy preserving %N 1 %P 4 %T Performance Analysis of Hybrid Approach for Privacy Preserving in Data Mining %U http://searchdl.org/public/journals/2013/IJRTET/8/1/58.pdf %V 8 %X Now-a day’s data sharing between two organizations is common in many application areas like business planning or marketing. When data are to be shared between parties, there could be some sensitive data which should not be disclosed to the other parties. Also medical records are more sensitive so, privacy protection is taken more seriously. As required by the Health Insurance Portability and Accountability Act (HIPAA), it is necessary to protect the privacy of patients and ensure the security of the medical data. To address this problem, released datasets must be modified unavoidably. We propose a method called Hybrid approach for privacy preserving and implemented it. First we randomized the original data. Then we have applied generalization on randomized or modified data. This technique protect private data with better accuracy, also it can reconstruct original data and provide data with no information loss, makes usability of data.

@article{savitalohiya2013performance, abstract = {Now-a day’s data sharing between two organizations is common in many application areas like business planning or marketing. When data are to be shared between parties, there could be some sensitive data which should not be disclosed to the other parties. Also medical records are more sensitive so, privacy protection is taken more seriously. As required by the Health Insurance Portability and Accountability Act (HIPAA), it is necessary to protect the privacy of patients and ensure the security of the medical data. To address this problem, released datasets must be modified unavoidably. We propose a method called Hybrid approach for privacy preserving and implemented it. First we randomized the original data. Then we have applied generalization on randomized or modified data. This technique protect private data with better accuracy, also it can reconstruct original data and provide data with no information loss, makes usability of data.}, added-at = {2014-02-03T07:16:07.000+0100}, author = {Savita Lohiya, Lata Ragha}, biburl = {https://www.bibsonomy.org/bibtex/2135200184f9a445f569c5559a6be3f36/idescitation}, editor = {Hope, Dr.Martin}, interhash = {885641d50e22273c5aa512bc44e03a74}, intrahash = {135200184f9a445f569c5559a6be3f36}, journal = {Int. J. on Recent Trends in Engineering and Technology,}, keywords = {Data Mining Privacy preserving}, month = {January}, number = 1, pages = 4, timestamp = {2014-02-03T07:16:07.000+0100}, title = {Performance Analysis of Hybrid Approach for Privacy Preserving in Data Mining}, url = {http://searchdl.org/public/journals/2013/IJRTET/8/1/58.pdf}, volume = 8, year = 2013 }