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Object-level tracking along supply chains, enabled by the low-cost and wide availability of Radio Frequency Identification (RFID) technology, permits companies to collect large amounts of data (e.g., time, location, handling) about the goods they produce. Combining the data collected by the different companies along a supply chain can provide considerable advantages to all of them. However, such a...
An important problem when moving an application to the cloud consists in selecting the most suitable cloud plan (among those available from cloud providers) for the application deployment, with the goal of finding the best match between application requirements and plan characteristics. If a user wishes to move multiple applications at the same time, this task can be complicated by the fact that different...
We propose an approach for allowing users to assess the integrity of distributed queries computed by a computational cloud, which is trusted neither for data confidentiality nor for query integrity. In particular, we consider join queries over multiple data sources, maintained at separate (trusted) storage servers, where join computation is performed by an inexpensive, but potentially untrusted, computational...
We address the problem of providing users with the ability to assess the integrity of join results produced by external computational providers and computed over externally stored databases. Our approach relies on different mutually supporting techniques offering strong integrity protection guarantees at a limited cost. The application of the approach is completely transparent to the computational...
Ensuring proper privacy and protection of the information stored, communicated, processed, and disseminated in the cloud as well as of the users accessing such an information is one of the grand challenges of our modern society. As a matter of fact, the advancements in the Information Technology and the diffusion of novel paradigms such as data outsourcing and cloud computing, while allowing users...
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