Matches in SemOpenAlex for { <https://semopenalex.org/work/W2889174589> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2889174589 endingPage "922" @default.
- W2889174589 startingPage "913" @default.
- W2889174589 abstract "Garbled circuits are general tools that allow two parties to compute any function without disclosing their respective inputs. Applications of this technique vary from distributed privacy-preserving machine learning tasks to secure outsourced authentication. Unfortunately, the energy cost of garbled circuit evaluation protocols is substantial. This limits the applicability of garbled circuits in scenarios that involve battery-operated devices, such as Internet-of-Things (IoT) devices and smartphones. In this paper, we propose MEG, a Memory- and Energy-efficient Garbled circuit evaluation mechanism. MEG utilizes batch data transmission and multi-threading to reduce memory and energy consumption. We implement MEG on an Android smartphone and compare its performance and energy consumption with state-of-the-art techniques using two garbled circuits of widely different sizes (AES-128 and 256-bit edit distance). Our results show that, compared with “plain” garbled circuit evaluation, MEG decreases memory consumption by more than 90%. When compared with current pipelined garbled circuit evaluation techniques, MEG’s energy usage was 42% lower for AES-128 and 23% lower for EDT-256. Furthermore, our multi-thread implementation of MEG decreased circuit evaluation time by up to 56.7% for AES-128, and by up to 13.5% for EDT-256, compared with state-of-the-art pipelining techniques." @default.
- W2889174589 created "2018-09-07" @default.
- W2889174589 creator A5033645370 @default.
- W2889174589 creator A5047851959 @default.
- W2889174589 creator A5053461285 @default.
- W2889174589 creator A5059780262 @default.
- W2889174589 creator A5068252123 @default.
- W2889174589 creator A5085986246 @default.
- W2889174589 date "2019-04-01" @default.
- W2889174589 modified "2023-10-17" @default.
- W2889174589 title "MEG: Memory and Energy Efficient Garbled Circuit Evaluation on Smartphones" @default.
- W2889174589 cites W1521253015 @default.
- W2889174589 cites W187139205 @default.
- W2889174589 cites W1986089277 @default.
- W2889174589 cites W1990007307 @default.
- W2889174589 cites W2001084165 @default.
- W2889174589 cites W2017839015 @default.
- W2889174589 cites W2020240447 @default.
- W2889174589 cites W2068238369 @default.
- W2889174589 cites W2088492763 @default.
- W2889174589 cites W2120315802 @default.
- W2889174589 cites W2169802112 @default.
- W2889174589 cites W2263396941 @default.
- W2889174589 cites W2364512015 @default.
- W2889174589 cites W2467994323 @default.
- W2889174589 cites W2474087962 @default.
- W2889174589 cites W3141585064 @default.
- W2889174589 cites W3141796657 @default.
- W2889174589 doi "https://doi.org/10.1109/tifs.2018.2868221" @default.
- W2889174589 hasPublicationYear "2019" @default.
- W2889174589 type Work @default.
- W2889174589 sameAs 2889174589 @default.
- W2889174589 citedByCount "6" @default.
- W2889174589 countsByYear W28891745892020 @default.
- W2889174589 countsByYear W28891745892022 @default.
- W2889174589 crossrefType "journal-article" @default.
- W2889174589 hasAuthorship W2889174589A5033645370 @default.
- W2889174589 hasAuthorship W2889174589A5047851959 @default.
- W2889174589 hasAuthorship W2889174589A5053461285 @default.
- W2889174589 hasAuthorship W2889174589A5059780262 @default.
- W2889174589 hasAuthorship W2889174589A5068252123 @default.
- W2889174589 hasAuthorship W2889174589A5085986246 @default.
- W2889174589 hasBestOaLocation W28891745891 @default.
- W2889174589 hasConcept C105795698 @default.
- W2889174589 hasConcept C149635348 @default.
- W2889174589 hasConcept C186370098 @default.
- W2889174589 hasConcept C2994168587 @default.
- W2889174589 hasConcept C33923547 @default.
- W2889174589 hasConcept C41008148 @default.
- W2889174589 hasConcept C9390403 @default.
- W2889174589 hasConceptScore W2889174589C105795698 @default.
- W2889174589 hasConceptScore W2889174589C149635348 @default.
- W2889174589 hasConceptScore W2889174589C186370098 @default.
- W2889174589 hasConceptScore W2889174589C2994168587 @default.
- W2889174589 hasConceptScore W2889174589C33923547 @default.
- W2889174589 hasConceptScore W2889174589C41008148 @default.
- W2889174589 hasConceptScore W2889174589C9390403 @default.
- W2889174589 hasFunder F4320306076 @default.
- W2889174589 hasIssue "4" @default.
- W2889174589 hasLocation W28891745891 @default.
- W2889174589 hasOpenAccess W2889174589 @default.
- W2889174589 hasPrimaryLocation W28891745891 @default.
- W2889174589 hasRelatedWork W2002703587 @default.
- W2889174589 hasRelatedWork W2355087605 @default.
- W2889174589 hasRelatedWork W2357258777 @default.
- W2889174589 hasRelatedWork W2368993825 @default.
- W2889174589 hasRelatedWork W2374512474 @default.
- W2889174589 hasRelatedWork W2380242202 @default.
- W2889174589 hasRelatedWork W2381295725 @default.
- W2889174589 hasRelatedWork W2381693813 @default.
- W2889174589 hasRelatedWork W2383226029 @default.
- W2889174589 hasRelatedWork W3159326715 @default.
- W2889174589 hasVolume "14" @default.
- W2889174589 isParatext "false" @default.
- W2889174589 isRetracted "false" @default.
- W2889174589 magId "2889174589" @default.
- W2889174589 workType "article" @default.