File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1007/978-3-319-12475-9_12
- Scopus: eid_2-s2.0-84909994517
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Article: Lossy trapdoor relation and its applications to lossy encryption and adaptive trapdoor relation
| Title | Lossy trapdoor relation and its applications to lossy encryption and adaptive trapdoor relation |
|---|---|
| Authors | |
| Keywords | Adaptive trapdoor relation Lossy encryption Lossy trapdoor functions Lossy trapdoor relation |
| Issue Date | 2014 |
| Citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, v. 8782, p. 162-177 How to Cite? |
| Abstract | Peikert and Waters proposed the notion of lossy trapdoor function in STOC 2008. In this paper, we propose a relaxation of lossy trapdoor function, called lossy trapdoor relation. Unlike the lossy trapdoor function, lossy trapdoor relation does not require completely recovering the input but a public computable injective map of it. Interestingly, the lossy trapdoor relation maintains the application of lossy trapdoor function on the lossy encryption. Moreover, motivated by the construction of adaptive trapdoor relation proposed by Wee (Crypto 2010), we introduce all-but-one verifiable lossy trapdoor relation which is in fact a relaxation of all-but-one lossy trapdoor function. |
| Persistent Identifier | http://hdl.handle.net/10722/311988 |
| ISSN | 2023 SCImago Journal Rankings: 0.606 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Xue, Haiyang | - |
| dc.contributor.author | Lu, Xianhui | - |
| dc.contributor.author | Li, Bao | - |
| dc.contributor.author | Liu, Yamin | - |
| dc.date.accessioned | 2022-04-06T04:31:55Z | - |
| dc.date.available | 2022-04-06T04:31:55Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, v. 8782, p. 162-177 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/311988 | - |
| dc.description.abstract | Peikert and Waters proposed the notion of lossy trapdoor function in STOC 2008. In this paper, we propose a relaxation of lossy trapdoor function, called lossy trapdoor relation. Unlike the lossy trapdoor function, lossy trapdoor relation does not require completely recovering the input but a public computable injective map of it. Interestingly, the lossy trapdoor relation maintains the application of lossy trapdoor function on the lossy encryption. Moreover, motivated by the construction of adaptive trapdoor relation proposed by Wee (Crypto 2010), we introduce all-but-one verifiable lossy trapdoor relation which is in fact a relaxation of all-but-one lossy trapdoor function. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
| dc.subject | Adaptive trapdoor relation | - |
| dc.subject | Lossy encryption | - |
| dc.subject | Lossy trapdoor functions | - |
| dc.subject | Lossy trapdoor relation | - |
| dc.title | Lossy trapdoor relation and its applications to lossy encryption and adaptive trapdoor relation | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/978-3-319-12475-9_12 | - |
| dc.identifier.scopus | eid_2-s2.0-84909994517 | - |
| dc.identifier.volume | 8782 | - |
| dc.identifier.spage | 162 | - |
| dc.identifier.epage | 177 | - |
| dc.identifier.eissn | 1611-3349 | - |