RASP-QS: Efficient and Confidential Query Services in the Cloud
Summary: Prototype for efficient and confidential range/kNN queries on cloud data using random space perturbation (RASP). RASP offers practical cloud privacy and faster query processing than encryption-based methods, demonstrated with an interactive visual interface to explore its merits. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Zohreh Alavi
- 2. Lu Zhou
- 3. James Powers
- 4. Keke Chen
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 324 | Order Preserving Encryption for Numeric Data | 2004 | SIGMOD | 0.00027444645 |
Previous
Page 1 / 1
Next