Range query integrity in the cloud: the case of video surveillance
Francesco Buccafurri, Gianluca Lax, Serena Nicolazzo, Antonino Nocera · 2016
Cloud computing provides users with the possibility to store their data in third-party servers, but these data centers may be untrusted or susceptible to attacks. This issue becomes particularly crucial in the case a third-party cloud is used to store video surveillance data. A number of methods have been proposed in the literature to allow users to verify that query results are correct. However, in the considered scenario, in which efficiency is a critical factor, classical techniques for query integrity are little suitable. This paper proposes a new solution to overcome these drawbacks.