activity
20192023
most citedUsing Trusted Execution Environments for Secure Stream Processing of Medical Data

19 citations · 28 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2023★ 2 cited

Faabric: Fine-Grained Distribution of Scientific Workloads in the Cloud

Simon Shillaker, Carlos Segarra, Eleftheria Mappoura +3

With their high parallelism and resource needs, many scientific applications benefit from cloud deployments. Today, scientific applications are executed on dedicated pools of VMs,…

cs.CR2021

A Novel Framework for the Analysis of Unknown Transactions in Bitcoin: Theory, Model, and Experimental Results

Maurantonio Caprolu, Matteo Pontecorvi, Matteo Signorini +2

Bitcoin (BTC) is probably the most transparent payment network in the world, thanks to the full history of transactions available to the public. Though, Bitcoin is not a fully anon…

cs.CR2020★ 2 cited

MQT-TZ: Hardening IoT Brokers Using ARM TrustZone

Carlos Segarra, Ricard Delgado-Gonzalo, Valerio Schiavoni

The publish-subscribe paradigm is an efficient communication scheme with strong decoupling between the nodes, that is especially fit for large-scale deployments. It adapts natively…

cs.CR2020★ 4 cited

MQT-TZ: Secure MQTT Broker for Biomedical Signal Processing on the Edge

Carlos Segarra, Ricard Delgado-Gonzalo, Valerio Schiavoni

Physical health records belong to healthcare providers, but the information contained within belongs to each patient. In an increasing manner, more health-related data is being acq…

cs.DC2020★ 1 cited

Kollaps: Decentralized and Dynamic Topology Emulation

Paulo Gouveia, João Neves, Carlos Segarra +4

The performance and behavior of large-scale distributed applications is highly influenced by network properties such as latency, bandwidth, packet loss, and jitter. For instance, a…

cs.CR2019★ 19 cited

Using Trusted Execution Environments for Secure Stream Processing of Medical Data

Carlos Segarra, Ricard Delgado-Gonzalo, Mathieu Lemay +3

Processing sensitive data, such as those produced by body sensors, on third-party untrusted clouds is particularly challenging without compromising the privacy of the users generat…