Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/1C4CF2E5-1B4C-471E-8E48-469FDE16C3F7 | - |
| Identifier | http://www.softnet.tuc.gr/~minos/Papers/icde07amfm.pdf | - |
| Identifier | https://doi.org/10.1109/ICDE.2007.368958 | - |
| Language | en | - |
| Extent | 10 pages | en |
| Title | Proof sketches: verifiable in-network aggregation | en |
| Creator | Garofalakis Minos | en |
| Creator | Γαροφαλακης Μινως | el |
| Creator | Hellerstein Joseph M. | en |
| Creator | Maniatis Petros | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Recent work on distributed, in-network aggregation assumes a benign population of participants. Unfortunately, modern distributed systems are plagued by malicious participants. In this paper we present a first step towards verifiable yet efficient distributed, in-network aggregation in adversarial settings. We describe a general framework and threat model for the problem and then present proof sketches, a compact verification mechanism that combines cryptographic signatures and Flajolet-Martin sketches to guarantee acceptable aggregation error bounds with high probability. We derive proof sketches for count aggregates and extend them for random sampling, which can be used to provide verifiable approximations for a broad class of dataanalysis queries, e.g., quantiles and heavy hitters. Finally, we evaluate the practical use of proof sketches, and observe that adversaries can often be reduced to much smaller violations in practice than our worst-case bounds suggest. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-30 | - |
| Date of Publication | 2007 | - |
| Subject | Data engineering | en |
| Subject | Databases management | en |
| Bibliographic Citation | M. Garofalakis, J. M. Hellerstein and P. Maniatis, "Proof sketches: verifiable in-network aggregation", in IEEE 23rd International Conference on Data Engineering, 2007, pp. 996-1005. doi: 10.1109/ICDE.2007.368958 | en |
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