Name
Abstract | ||
|---|---|---|
In this paper, we propose a similarity searchable encryption in the symmetric key setting for Euclidean distance, by extending the functional encryption scheme for inner product proposed by Bishop et al. [2]. Our scheme performs predetermined encoding independently of vectors x and y, and it obtains the Euclidean distance between the two vectors while they remain encrypted. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1587/transinf.2016INP0011 | PROCEEDINGS OF 2016 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA 2016) |
Keywords | DocType | Volume |
searchable encryption, inner product encryption, the weighted Euclidean distance | Journal | 100-D |
Issue | ISSN | Citations |
10 | 1745-1361 | 0 |
PageRank | References | Authors |
0.34 | 7 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuji Unagami | 1 | 0 | 0.34 |
| Natsume Matsuzaki | 2 | 0 | 0.34 |
| Shota Yamada | 3 | 94 | 18.10 |
| Nuttapong Attrapadung | 4 | 811 | 39.85 |
| Takahiro Matsuda | 5 | 343 | 42.05 |
| Goichiro Hanaoka | 6 | 910 | 101.53 |