Full Database Reconstruction with Access and Search Pattern Leakage

Evangelia Anna Markatou; Roberto Tamassia

Paper 2019/395

Full Database Reconstruction with Access and Search Pattern Leakage

Evangelia Anna Markatou and Roberto Tamassia

Abstract

The widespread use of cloud computing has enabled several database providers to store their data on servers in the cloud and answer queries from those servers. In order to protect the confidentiality of data in the cloud, a database can be stored in encrypted form and all queries can be executed on the encrypted database. Recent research results suggest that a curious cloud provider may be able to decrypt some of the items in the database after seeing a large number of queries and their (encrypted) results. In this paper, we focus on one-dimensional databases that support range queries and develop an attack that can achieve full database reconstruction, inferring the exact value of every element in the database. We consider an encrypted database whose records have values from a given universe of consecutive integers.Our attack assumes access pattern and search pattern leakage. It succeeds after the attacker has seen each of the possible query results at least once, independent of their distribution. If we assume that the client issues queries uniformly at random, we can decrypt the entire database with high probability after observing queries.

Metadata

Available format(s): PDF
Category: Applications
Publication info: Preprint. MINOR revision.
Keywords: Searchable Encryption Encrypted Databases Leakage-Abuse Attacks Data Recovery
Contact author(s): markatou @ brown edu
History: 2019-09-18: revised; 2019-04-18: received; See all versions
Short URL: https://ia.cr/2019/395
License: CC BY

BibTeX

@misc{cryptoeprint:2019/395,
      author = {Evangelia Anna Markatou and Roberto Tamassia},
      title = {Full Database Reconstruction with Access and Search Pattern Leakage},
      howpublished = {Cryptology {ePrint} Archive, Paper 2019/395},
      year = {2019},
      url = {https://eprint.iacr.org/2019/395}
}