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<title>A human oriented Privacy Impact Metric for mobile apps</title>
<creator>Aparicio De La Fuente, Amador</creator>
<creator>Crespo Guerrero, Javier</creator>
<creator>Martínez González, María Mercedes</creator>
<creator>Cardeñoso Payo, Valentín</creator>
<description>Producción Científica</description>
<description>Android is the operating system with the largest presence on&#xd;
mobile devices. The permissions mechanism is used to grant or restrict&#xd;
the access of applications to the device’s data and resources. Applications&#xd;
request permission to access them and users decide whether to grant or&#xd;
deny them. Our proposal is to obtain a permissions-based metric, easy&#xd;
to use for device owners, to provide them with guidance on the risk to&#xd;
their privacy that they assume when they install an app on their device&#xd;
and how to minimize this risk. A distinctive feature compared to other&#xd;
proposals is that we use permission groups as one of the parameters.&#xd;
These permission groups express concepts that are more accessible to any&#xd;
type of user than individual permissions and are what users can actually&#xd;
act on. This has the advantage of being easier for users to understand. To&#xd;
facilitate its use, we have developed a service that allows you to consult&#xd;
it, but also to perform simulations to check how granting or denying each&#xd;
group of permissions requested by an application affects before making&#xd;
decisions and taking risks on the device itself. We thus introduce the&#xd;
criterion of usability, which allows us to obtain a more human technology,&#xd;
available to empowered users.</description>
<date>2023-06-22</date>
<date>2023-06-22</date>
<date>2023</date>
<type>info:eu-repo/semantics/conferenceObject</type>
<identifier>https://uvadoc.uva.es/handle/10324/59944</identifier>
<language>eng</language>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>http://creativecommons.org/publicdomain/zero/1.0/</rights>
<rights>CC0 1.0 Universal</rights>
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