Privacy preserving and performance analysis on not only SQL database aggregation in bigdata era

@article{Shih2017PrivacyPA,
  title={Privacy preserving and performance analysis on not only SQL database aggregation in bigdata era},
  author={Dong-Her Shih and Feng-Chuan Huang and Wei-Hao Lai and Ming-Hung Shih},
  journal={2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)},
  year={2017},
  pages={56-60}
}
Database management systems have been indispensable to enterprises for decades. As the amount of data dramatically increased, database aggregation has encountered a dilemma between privacy and performance. In traditional database aggregation, all attributes have been encrypted to protect the privacy of data. However, in big data, this privacy measure is no longer feasible because cryptography will degrade the system performance. Therefore, a database aggregation scheme that not only protects… CONTINUE READING