000232893 001__ 232893
000232893 005__ 20190812210005.0
000232893 0247_ $$a10.1145/3176258.3176315$$2doi
000232893 037__ $$aCONF
000232893 245__ $$aSecure Storage with Replication and Transparent Deduplication
000232893 269__ $$a2018
000232893 260__ $$c2018
000232893 336__ $$aConference Papers
000232893 520__ $$aWe seek to answer the following question: To what extent can we deduplicate replicated storage ? To answer this question, we design ReDup, a secure storage system that provides users with strong integrity, reliability, and transparency guarantees about data that is outsourced at cloud storage providers. Users store multiple replicas of their data at different storage servers, and the data at each storage server is deduplicated across users. Remote data integrity mechanisms are used to check the integrity of replicas. We consider a strong adversarial model, in which collusions are allowed between storage servers and also between storage servers and dishonest users of the system. A cloud storage provider (CSP) could store less replicas than agreed upon by contract, unbeknownst to honest users. ReDup defends against such adversaries by making replica generation to be time consuming so that a dishonest CSP cannot generate replicas on the fly when challenged by the users. In addition, ReDup employs transparent deduplication, which means that users get a proof attesting the deduplication level used for their files at each replica server, and thus are able to benefit from the storage savings provided by deduplication. The proof is obtained by aggregating individual proofs from replica servers, and has a constant size regardless of the number of replica servers. Our solution scales better than state of the art and is provably secure under standard assumptions.
000232893 700__ $$g286854$$aLeontiadis, Iraklis$$0251315
000232893 700__ $$aCurtmola, Reza
000232893 7112_ $$dMarch 19 - 21, 2018$$cTempe, Arizona, USA$$aThe 8th ACM Conference on Data and Application Security and Privacy
000232893 8564_ $$zn/a$$yn/a$$uhttps://infoscience.epfl.ch/record/232893/files/index.pdf$$s960225
000232893 8560_ $$firaklis.leontiadis@epfl.ch
000232893 909C0 $$xU10433$$pLASEC$$0252183
000232893 909CO $$ooai:infoscience.tind.io:232893$$qGLOBAL_SET$$pconf$$pIC
000232893 917Z8 $$x286854
000232893 917Z8 $$x286854
000232893 937__ $$aEPFL-CONF-232893
000232893 973__ $$rREVIEWED$$aOTHER
000232893 980__ $$aCONF