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.

Range Query Integrity in the Cloud: the Case of Video Surveillance

Nocera, A
2016-01-01

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1349371
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