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.


Keywords:
Faculty:
Economie et Services
School:
HEG Arc
Institute:
Institut du Management et des Systèmes d'Information
Subject(s):
Informatique
Publisher:
Heidelberg, Springer
Date:
Heidelberg
Springer
2016
Pagination:
pp. 263-274
Published in:
New advances in information systems and technologies : part 1
DOI:
ISSN:
2194-5357
ISBN:
9783319312316
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2016-10-18, last modified 2018-12-20

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