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Secure Remote Computation using Intel SGX

dc.contributor.authorÜbler, David
dc.contributor.authorGötzfried, Johannes
dc.contributor.authorMüller, Tilo
dc.contributor.editorLangweg, Hanno
dc.contributor.editorMeier, Michael
dc.contributor.editorWitt, Bernhard C.
dc.contributor.editorReinhardt, Delphine
dc.date.accessioned2018-03-22T12:40:40Z
dc.date.available2018-03-22T12:40:40Z
dc.date.issued2018
dc.description.abstractIn this paper, we leverage SGX to provide a secure remote computation framework to be used in a cloud scenario. Our framework consists of two parts, a local part running on the user's machine and a remote part which is executed within the provider's environment. Users can connect and authenticate themselves to the remote side, verify the integrity of a newly spawned loading enclave, and deploy confidential code to the provider's machine. While we are not the first using SGX in a cloud scenario, we provide a full implementation considering all practical pitfalls, e.g., we use Intel's Attestation Services to prove the integrity of the loading enclave to our users. We also take care of establishing a secure bidirectional channel between the target enclave and the client running on the user's machine to send code, commands, and data. The performance overhead of CPU-bound applications using our framework is below 10% compared to remote computation without using SGX.en
dc.identifier.doi10.18420/sicherheit2018_16
dc.identifier.isbn978-3-88579-675-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/16281
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSICHERHEIT 2018
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-281
dc.subjectIntel SGX
dc.subjectCloud Computing
dc.subjectIsolation
dc.titleSecure Remote Computation using Intel SGXen
dc.typeText/Conference Paper
gi.citation.endPage219
gi.citation.publisherPlaceBonn
gi.citation.startPage209
gi.conference.date25.-27. April 2018
gi.conference.locationKonstanz, Germany
gi.conference.sessiontitleWissenschaftliche Beiträge

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