TY - GEN
T1 - Bitmap-based distributed index structure and encrypted query processing schemes for outsourcing mobile sensitive data
AU - Lee, Hyunjo
AU - Kim, Hyeong Jin
AU - Chang, Jae Woo
AU - Kim, Hyeong Il
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/3/17
Y1 - 2017/3/17
N2 - As the outsourcing of mobile sensitive data has been highlighted, data encryption schemes are required to protect the mobile sensitive data. Accordingly, it is necessary to develop not only a distributed index structure to efficiently manage the large amount of encrypted data, but also a query processing scheme over the encrypted data. To the best of our knowledge, there has been no research on index structure for the encrypted data. Meanwhile, the existing query processing schemes over the encrypted data can support limited types of queries. Also, without decrypting data, the existing schemes cannot support operations among data between different columns because they use different types of encryption schemes depending on their attribute types. To solve the problems, in this paper, we propose a bitmap-based distributed index structure and a query processing scheme for the encrypted data. The proposed distributed index structure guarantees data privacy preservation and performance improvement for the various types of queries. In addition, by processing a query over the encrypted data without data decryption, the proposed query processing scheme provide both high query performance and 100% accuracy while preserving the data privacy. Finally, we show from our performance analysis that our proposed index structure and query processing scheme are suitable for protecting the data privacy of the mobile sensitive data.
AB - As the outsourcing of mobile sensitive data has been highlighted, data encryption schemes are required to protect the mobile sensitive data. Accordingly, it is necessary to develop not only a distributed index structure to efficiently manage the large amount of encrypted data, but also a query processing scheme over the encrypted data. To the best of our knowledge, there has been no research on index structure for the encrypted data. Meanwhile, the existing query processing schemes over the encrypted data can support limited types of queries. Also, without decrypting data, the existing schemes cannot support operations among data between different columns because they use different types of encryption schemes depending on their attribute types. To solve the problems, in this paper, we propose a bitmap-based distributed index structure and a query processing scheme for the encrypted data. The proposed distributed index structure guarantees data privacy preservation and performance improvement for the various types of queries. In addition, by processing a query over the encrypted data without data decryption, the proposed query processing scheme provide both high query performance and 100% accuracy while preserving the data privacy. Finally, we show from our performance analysis that our proposed index structure and query processing scheme are suitable for protecting the data privacy of the mobile sensitive data.
KW - Data encryption
KW - Distributed index structure
KW - Encrypted query processing
KW - Mobile Data privacy
UR - https://www.scopus.com/pages/publications/85017642455
U2 - 10.1109/BIGCOMP.2017.7881680
DO - 10.1109/BIGCOMP.2017.7881680
M3 - Conference paper
AN - SCOPUS:85017642455
T3 - 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
SP - 288
EP - 295
BT - 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
Y2 - 13 February 2017 through 16 February 2017
ER -