Salvaneschi, Guido ; Köhler, Mirko ; Sokolowski, Daniel ; Haller, Philipp ; Erdweg, Sebastian ; Mezini, Mira (2020)
Language-Integrated Privacy-Aware Distributed Queries.
In: Proceedings of the ACM on Programming Languages, 2019, 3 (OOPSLA)
doi: 10.25534/tuprints-00014553
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
Distributed query processing is an effective means for processing large amounts of data. To abstract from the technicalities of distributed systems, algorithms for operator placement automatically distribute sequential data queries over the available processing units. However, current algorithms for operator placement focus on performance and ignore privacy concerns that arise when handling sensitive data. We present a new methodology for privacy-aware operator placement that both prevents leakage of sensitive information and improves performance. Crucially, our approach is based on an information-flow type system for data queries to reason about the sensitivity of query subcomputations. Our solution unfolds in two phases. First, placement space reduction generates deployment candidates based on privacy constraints using a syntax-directed transformation driven by the information-flow type system. Second, constraint solving selects the best placement among the candidates based on a cost model that maximizes performance. We verify that our algorithm preserves the sequential behavior of queries and prevents leakage of sensitive data. We implemented the type system and placement algorithm for a new query language SecQL and demonstrate significant performance improvements in benchmarks.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Salvaneschi, Guido ; Köhler, Mirko ; Sokolowski, Daniel ; Haller, Philipp ; Erdweg, Sebastian ; Mezini, Mira |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Language-Integrated Privacy-Aware Distributed Queries |
| Sprache: | Englisch |
| Publikationsjahr: | 2020 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2019 |
| Verlag: | Association for Computing Machinery |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Proceedings of the ACM on Programming Languages |
| Jahrgang/Volume einer Zeitschrift: | 3 |
| (Heft-)Nummer: | OOPSLA |
| DOI: | 10.25534/tuprints-00014553 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/14553 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung aus Golden Open Access |
| Kurzbeschreibung (Abstract): | Distributed query processing is an effective means for processing large amounts of data. To abstract from the technicalities of distributed systems, algorithms for operator placement automatically distribute sequential data queries over the available processing units. However, current algorithms for operator placement focus on performance and ignore privacy concerns that arise when handling sensitive data. We present a new methodology for privacy-aware operator placement that both prevents leakage of sensitive information and improves performance. Crucially, our approach is based on an information-flow type system for data queries to reason about the sensitivity of query subcomputations. Our solution unfolds in two phases. First, placement space reduction generates deployment candidates based on privacy constraints using a syntax-directed transformation driven by the information-flow type system. Second, constraint solving selects the best placement among the candidates based on a cost model that maximizes performance. We verify that our algorithm preserves the sequential behavior of queries and prevents leakage of sensitive data. We implemented the type system and placement algorithm for a new query language SecQL and demonstrate significant performance improvements in benchmarks. |
| Freie Schlagworte: | Engineering; E5, emergenCITY_INF |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-145533 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Softwaretechnik DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche Profilbereiche Profilbereiche > Cybersicherheit (CYSEC) LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen |
| TU-Projekte: | HMWK|III L6-519/03/05.001-(0016)|emergenCity TP Bock |
| Hinterlegungsdatum: | 30 Nov 2020 16:05 |
| Letzte Änderung: | 20 Okt 2023 10:56 |
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| Suche nach Titel in: | TUfind oder in Google |
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