Name
Abstract | ||
|---|---|---|
We address the problem of providing users with the ability to assess the integrity of join results produced by external computational providers and computed over externally stored databases. Our approach relies on different mutually supporting techniques offering strong integrity protection guarantees at a limited cost. The application of the approach is completely transparent to the computational provider, against which data and query confidentiality are preserved. The paper introduces our techniques analytically, examining their protection guarantees and performance. It also illustrates experimental results, which confirm the effectiveness and efficiency of our solutions. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TCC.2013.18 | IEEE T. Cloud Computing |
Keywords | Field | DocType |
cloud computing,query processing,security of data,cloud,data confidentiality,integrity protection guarantees,join queries integrity,query confidentiality,Cloud,and completeness,correctness,markers,query integrity,salts and buckets,twins | Confidentiality,Computer science,Correctness,Server,Encryption,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
1 | 2 | 2168-7161 |
Citations | PageRank | References |
15 | 0.59 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sabrina De Capitani Di Vimercati | 1 | 3991 | 350.57 |
| S. Foresti | 2 | 1004 | 64.12 |
| Sushil Jajodia | 3 | 9375 | 1839.16 |
| Stefano Paraboschi | 4 | 3590 | 450.24 |
| Pierangela Samarati | 5 | 7152 | 785.82 |