Giulia Mauri

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The Information Centric Networking (ICN) model relies on the ubiquitous use of caching to improve performance and reduce bandwidth requirements. ICN also makes it possible for routers to fetch content from downstream nodes, such as when a content for a home user is fetched from a neighbor's home router, with significant performance improvement. This paper(More)
Privacy and protection of user-related data is of paramount importance in Smart Grid scenarios: on one hand, information regarding customers’ personal habits can be inferred by analysing metering data; on the other hand, detailed knowledge of consumption measurements is crucial for the timely management of energy distribution, provisioning, and forecasting.(More)
Information Centric Networking (ICN) is a networking framework for content distribution. The communication is based on a request/response model where the attention is centered on the content. The user sends interest messages naming the content it desires and the network chooses the best node from which delivers the content. This way for retrieving contents(More)
A tradeoff between data collection needs and user privacy is of paramount importance in the Smart Grid. This paper proposes a pseudonymization protocol for data gathered by the Smart Meters, which relies on a network infrastructure and a dedicated set of nodes, called Privacy Preserving Nodes (PPNs). The network privacy is enforced by a separation of(More)
Widespread use of caching provides advantages for users and providers, such as reduced network latency, higher content availability, bandwidth reduction and server load balancing. In Information Centric Networking, the attention is shifted from users to content, which is addressed by its name and not by its location. Moreover, the content objects are stored(More)
The explosion of mobile multimedia and Internetof-things (IoT) services implies strong requirements for seamless switching among various types of networks. Thus, to offer true ubiquitous Internet connection, a Fixed and Mobile Converged (FMC) network architecture is essential for the future 5G network. Such a convergent network can not only improve the(More)
A technique is proposed, based on neural networks for dealing with a particular problem of syntactical ambiguity in the process of building the syntactical tree of an Italian sentence, namely the PP-attachment problem. The neural network was used as a daemon for a top-down parser, when it faced multiple entries in the parsing table. The network was trained(More)