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A multisignature scheme allows a group of signers to produce a joint signature on a common message, which is more compact than a collection of distinct signatures from all signers. Given this signatur...
MapReduce programming paradigm allows to process big data sets in parallel on a large cluster. We focus on a scenario where the data owner outsources her data on an honest-but-curious server. Our aim ...
Aggregate signature allows non-interactively condensing multiple individual signatures into a compact one. Besides the faster verification, it is useful to reduce storage and bandwidth, and is especia...
We focus on a scenario in which a single company wishes to obtain the distribution of aggregate features, while ensuring a high level of privacy for the users. We are interested in the case where user...
Aggregator oblivious encryption was proposed by Shi et al. (NDSS 2011), where an aggregator can compute an aggregated sum of data and is unable to learn anything else (aggregator obliviousness). Since...
We design a novel, communication-efficient, failure-robust protocol for secure aggregation of high-dimensional data. Our protocol allows a server to compute the sum of large, user-held data vectors fr...
We introduce the notion of homomorphic proxy re-authenticators, a tool that adds security and verifiability guarantees to multi-user data aggregation scenarios. It allows distinct sources to authentic...
With the advent of networking applications collecting user data on a massive scale, the privacy of individual users appears to be a major concern. The main challenge is the design of a solution that...
A sensor network is a network comprised of many small, wireless, resourcelimited nodes that sense data about their environment and report readings to a base station. One technique to conserve power ...
Participatory sensing enables new paradigms and markets for information collection based on the ubiquitous availability of smartphones, but also introduces privacy challenges for participating users a...
Computing aggregate statistics about user data is of vital importance for a variety of services and systems, but this practice has been shown to seriously undermine the privacy of users. Differentia...
Over the past few years, online service providers have started gathering increasing amounts of personal information to build user profiles and monetize them with advertisers and data brokers. Users h...
Existing work on data collection and analysis for aggregation is mainly focused on confidentiality issues. That is, the untrusted Aggregator learns only the aggregation result without divulging indi...
We consider a sensor network setting in which the sensed samples are encrypted individually using different keys before being streamed to a cloud storage. For large systems with high capacity, e.g. ge...
The progress in communication and hardware technology increases the computational capabilities of personal devices. Data is produced massively from ubiquitous devices that cannot be stored locally. ...

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