CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIn this paper we consider a scenario where a user wants to outsource her documents to the cloud, so that she can later reliably delegate (to the cloud) pattern matching operations on these documents. We propose an efficient solution to this problem that relies on the homomorphic MAC for polynomials proposed by Catalano and Fiore (EuroCrypt 2013). Our main contribution are new methods to express pat- tern matching operations (both in their exact and approximate variants) as low degree polynomials, i.e. polynomials whose degree solely depends on the size of the pattern. To better assess the practicality of our schemes, we propose a concrete implementation that further optimizes the efficiency of the homomorphic MAC of Catalano and Fiore. Our implementation shows that the proposed protocols are extremely efficient for the client, while remaining feasible at server side.
| Titolo: | Verifiable Pattern Matching on Outsourced Texts |
| Autori interni: | FARO, SIMONE (Corresponding) |
| Data di pubblicazione: | 2018 |
| Rivista: | |
| Handle: | http://hdl.handle.net/20.500.11769/354556 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Verifiable pattern matching on outsourced texts.pdf | Versione Editoriale (PDF) | Administrator |
http://hdl.handle.net/20.500.11769/354556
Copyright © 2021