Functionalities as superior predictor of applications privacy threats

De Santo, Alessio, (Haute école de gestion Arc, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Quiquerez, Brice (Haute école de gestion Arc, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Gaspoz, Cédric (Haute école de gestion Arc, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale)

Applications are invading our devices whether in our phones, computers and TVs or in our cars, appliances and cameras. Providing great benefits in terms of added functionalities and customization, these applications also put a lot of pressure on our privacy. In order to offer their services, these applications needs access to data stored on the devices or captured by various sensors. Currently all systems have implemented a permissions based framework for granting access to various data, based on the requests made by the applications. However, it is difficult for most users to make informed decisions when they are asked to grant these accesses. In this paper, we present a paradigm shift from a permissions to a functionalities framework. We show that users are consistent in understanding functionalities offered by applications and we propose an ontology for bridging the gap between understandable functionalities and technical permissions.


Mots-clés:
Ecole:
HEG-Arc
Institut:
Institut du Management et des Systèmes d'Information
Classification:
Informatique
Adresse bibliogr.:
Heidelberg, Springer
Date:
Heidelberg
Springer
2016
Pagination:
pp. 263-274
Titre du document hôte:
New advances in information systems and technologies : part 1
DOI:
ISSN:
2194-5357
ISBN:
9783319312316
Le document apparaît dans:

Note  Le statut de ce document est: non diffusé

Note: The status of this file is: restricted


 Notice créée le 2016-10-18, modifiée le 2017-09-09

Fichiers:
Télécharger le document
PDF

Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)