Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/59944
Título
A human oriented Privacy Impact Metric for mobile apps
Autor
Congreso
Data Privacy Management
Año del Documento
2023
Descripción
Producción Científica
Abstract
Android is the operating system with the largest presence on
mobile devices. The permissions mechanism is used to grant or restrict
the access of applications to the device’s data and resources. Applications
request permission to access them and users decide whether to grant or
deny them. Our proposal is to obtain a permissions-based metric, easy
to use for device owners, to provide them with guidance on the risk to
their privacy that they assume when they install an app on their device
and how to minimize this risk. A distinctive feature compared to other
proposals is that we use permission groups as one of the parameters.
These permission groups express concepts that are more accessible to any
type of user than individual permissions and are what users can actually
act on. This has the advantage of being easier for users to understand. To
facilitate its use, we have developed a service that allows you to consult
it, but also to perform simulations to check how granting or denying each
group of permissions requested by an application affects before making
decisions and taking risks on the device itself. We thus introduce the
criterion of usability, which allows us to obtain a more human technology,
available to empowered users.
Palabras Clave
Android
Privacy
Permissions Groups
Malware
Metrics
Security
Idioma
eng
Tipo de versión
info:eu-repo/semantics/submittedVersion
Derechos
openAccess
Collections
Files in this item
Except where otherwise noted, this item's license is described as CC0 1.0 Universal