Range query integrity in cloud data streams with efficient insertion

Abstract

Cloud computing provides users with the possibility to store their data in third-party servers. These data centers may be untrusted or susceptible to attacks, hence they could return compromised query results once interrogated. Query integrity has been widely investigated in the literature, and a number of methods have been proposed to allow users to verify that query results are complete (i.e., no qualifying tuples are omitted), fresh (i.e., the newest version of the results are returned), and correct (i.e., the result values are not corrupted). In this paper, we identify a specific scenario in which classical techniques for query integrity appear little suitable and we propose a new solution to overcome these drawbacks. The scenario considered, instantiated in a realistic video surveillance setting, is that of data streams in which append operations and range queries are dominant, and the efficiency is a critical factor.