We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm which constructs a z-reverse-safe data structure that has size O(n) and answers pattern matching queries of length at most d optimally, where d is maximal for any such z-reverse-safe data structure. The construction algorithm takes O(n ω log d) time, where ω is the matrix multiplication exponent. We show that, despite the n ω factor, our engineered implementation takes only a few minutes to finish for million-letter texts. We further show that plugging our method in data analysis applications gives insignificant or no data utility loss. Finally, we show how our technique can be extended to support applications under a realistic adversary model.

Giulia Bernardini, Huiping Chen, Gabriele Fici, Grigorios Loukides, Solon P. Pissis (2020). Reverse-Safe Data Structures for Text Indexing. In G. Blelloch, I. Finocchi (a cura di), 2020 Proceedings of the Workshop on Algorithm Engineering and Experiments (ALENEX) (pp. 199-213). Society for Industrial an Applied Mathematics - SIAM [10.1137/1.9781611976007.16].

Reverse-Safe Data Structures for Text Indexing

Gabriele Fici;
2020-01-01

Abstract

We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm which constructs a z-reverse-safe data structure that has size O(n) and answers pattern matching queries of length at most d optimally, where d is maximal for any such z-reverse-safe data structure. The construction algorithm takes O(n ω log d) time, where ω is the matrix multiplication exponent. We show that, despite the n ω factor, our engineered implementation takes only a few minutes to finish for million-letter texts. We further show that plugging our method in data analysis applications gives insignificant or no data utility loss. Finally, we show how our technique can be extended to support applications under a realistic adversary model.
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
Giulia Bernardini, Huiping Chen, Gabriele Fici, Grigorios Loukides, Solon P. Pissis (2020). Reverse-Safe Data Structures for Text Indexing. In G. Blelloch, I. Finocchi (a cura di), 2020 Proceedings of the Workshop on Algorithm Engineering and Experiments (ALENEX) (pp. 199-213). Society for Industrial an Applied Mathematics - SIAM [10.1137/1.9781611976007.16].
File in questo prodotto:
File Dimensione Formato  
Reverse-Safe Data Structures for Text Indexing.pdf

accesso aperto

Tipologia: Versione Editoriale
Dimensione 1.2 MB
Formato Adobe PDF
1.2 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/391699
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? ND
social impact