L Diversity on K-Anonymity with External Database for improving Privacy Preserving Data Publishing

@inproceedings{Kumar2012LDO,
  title={L Diversity on K-Anonymity with External Database for improving Privacy Preserving Data Publishing},
  author={Pravin Kumar and M. Karthikeyan},
  year={2012}
}
The data must be secure and measurable at the public when it releases to view. The data table produces personal information and sensitive values. They are maintained for secrecy, the anonymity is the best method to protect the data. There are many anonymity methods to protect the data. k -anonymity is one method to protect the data. The problem in kanonymity method is if data set increases then utility decreases. Also kanonymity data is possible to many attacks like Homogeneity Attack… CONTINUE READING

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