Name
Abstract | ||
|---|---|---|
The fuzzy query scheme based on vector index uses Bloom filter to construct vector index for key words. Then the statistical attack based on the deviation of frequency distribution of the vector index brings out the sensitive information disclosure. Using the noise vector, a fuzzy query scheme resistant to the statistical attack serving for encrypted database, i.e. S-BF, is introduced. With the noise vector to clear up the deviation of frequency distribution of vector index, the statistical attacks to the vector index are resolved. Demonstrated by lab experiment, S-BF scheme can achieve the secure fuzzy query with the powerful privation protection capability for encrypted cloud database without the loss of fuzzy query efficiency. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/NaNA.2019.00075 | 2019 International Conference on Networking and Network Applications (NaNA) |
Keywords | DocType | ISBN |
Encrypted Cloud Database,Fuzzy Query,Bloom Filter,Statistical Attack | Conference | 978-1-7281-2630-2 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junshuai Sun | 1 | 0 | 0.68 |
| Jianfeng Ma | 2 | 1207 | 89.64 |
| Jiao Quan | 3 | 0 | 0.34 |
| Xinghui Zhu | 4 | 1 | 1.38 |
| Chih-Lin I | 5 | 2167 | 211.25 |